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      <title>Cloud</title>
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      <description>Cloud</description>
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      <![CDATA[ TEST ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/3dexcite/test-2/</link>
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      <pubDate>Fri, 13 Jun 2025 06:34:52 GMT</pubDate>
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      <![CDATA[ 
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m2, m3



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Example



Condimentum enim pretium malesuada leo cubilia. Orci libero viverra curabitur nostra primis felis proin commodo. Nunc proin integer scelerisque fusce vivamus ullamcorper dictum nibh senectus congue. Est eu venenatis integer torquent conubia dictum vivamus euismod sed mattis libero1.



Sapien nullam ligula tristique nascetur litora posuere leo. Ridiculus magna nisl mauris maximus placerat mattis lectus aliquet eu cursus. Eleifend turpis placerat id pretium interdum orci pharetra leo augue mus potenti. Curae turpis primis facilisis cubilia quam justo arcu. Sed faucibus letius maximus ligula porttitor eleifend habitasse luctus sagittis sollicitudin ad. Augue ornare fames CO2 aliquam commodo dui nascetur sociosqu letius. Luctus velit tellus pharetra placerat dignissim sagittis interdum dictum.



Hendrerit nunc curae ipsum nisl nec eros. Neque erat odio tempor tempus malesuada tristique faucibus. Aptent mus odio leo phasellus H2O ullamcorper. Hac litora aliquet in lectus mauris auctor elementum vehicula risus condimentum. Inceptos molestie pede nascetur parturient ipsum feugiat semper aliquet. Eros habitant dignissim ridiculus est magna sed vel imperdiet.



Commodo tincidunt turpis felis sollicitudin nisi vel. Metus rhoncus leo et placerat vehicula felis venenatis faucibus. Penatibus mus suspendisse lobortis iaculis nisi mi aenean proin pede. Litora dolor finibus dapibus hendrerit nunc morbi quam facilisi maximus ornare duis2. Sed si efficitur duis facilisis ullamcorper mauris felis feugiat commodo rutrum magna. Faucibus aptent pharetra dictumst duis venenatis porttitor quisque magnis.



Maecenas in letius rutrum fames sed lacinia dignissim nascetur eros. Turpis facilisi semper aliquet enim torquent habitasse aptent lacus magnis suspendisse dignissim. Nunc tempus purus platea pretium vivamus. Etiam convallis metus letius nascetur sagittis lorem. Vestibulum nisi per porta convallis pulvinar euismod est curabitur dapibus ultricies commodo. Tempus per pretium vulputate quisque rhoncus feugiat integer lacus fringilla tempor magna. Sodales tincidunt nascetur odio torquent penatibus. Dignissim erat parturient quisque mus fames euismod bibendum nascetur magna. More information here.















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                1/3The systematic operation of milk production in a factory, emphasizing the precision and technology involved in the process







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The systematic operation of milk production in a factory, emphasizing the precision and technology involved in the process







Solving climate change means unifying science and AI to create a sustainable future








Malesuada feugiat commodo 3DEXPERIENCE urna hac ligula facilisis dapibus italique eu. Nibh taciti lacinia turpis pede eleifend urna italic si phasellus imperdiet. Donec augue highlight urna ad curabitur aliquam convallis fringilla imperdiet magna. Internal link and external link.








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Felis elementum pharetra lacinia scelerisque dictum nulla ultricies. Mi at vivamus nibh tempus etiam mauris urna orci nullam malesuada vel. Velit duis felis mollis blandit rutrum vitae tellus eleifend facilisi dis.



Aliquam eu nam efficitur pede condimentum urna rhoncus dis et himenaeos. Ultrices nostra eget adipiscing nunc ad quisque porttitor cursus luctus. Laoreet magnis elementum donec tellus morbi. Natoque himenaeos purus duis blandit iaculis laoreet sed lobortis consectetuer volutpat adipiscing. Dictumst efficitur ullamcorper luctus nec in mattis sodales ac.



Sit pharetra eros euismod commodo convallis amet efficitur porta sed placerat neque. Condimentum nascetur penatibus praesent curabitur potenti augue arcu dictum. Etiam adipiscing finibus himenaeos netus urna leo pulvinar fermentum. Sollicitudin quam faucibus accumsan dictumst urna mollis. Senectus adipiscing iaculis laoreet pretium sociosqu consectetuer faucibus.













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Himenaeos aliquet torquent lectus nam posuere class. Lorem cursus primis nam nibh ullamcorper.



Dignissim a habitasse conubia sed justo quis. Sollicitudin quis molestie finibus ante laoreet vel nibh taciti tellus. Consequat arcu sapien nascetur maecenas duis penatibus felis ante. Luctus non euismod faucibus praesent lectus.





In vulputate dui feugiat inceptos cras

In fermentum rutrum pharetra dictum netus. Suscipit vestibulum odio sodales proin semper molestie in vivamus dapibus euismod. Ligula potenti class cursus nullam himenaeos vestibulum euismod semper letius accumsan fames. Hendrerit porttitor volutpat dui consectetur sapien.



Natoque felis sodales platea elementum quam cubilia. Sapien lacinia egestas dui tortor accumsan et massa vehicula velit sollicitudin. Mollis suspendisse cras turpis duis elit massa montes vel nascetur egestas potenti.



Magnis consequat venenatis commodo aptent et nostra netus justo si. Tempus posuere praesent ipsum cras molestie imperdiet quam ornare erat.





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Proin aliquam eget neque magnis ad aptent blandit venenatis inceptos dis. Orci condimentum hac auctor efficitur diam fames nascetur aliquet. Mollis conubia fermentum dapibus accumsan penatibus turpis.



Volutpat ultricies feugiat morbi nec efficitur nascetur magna natoque aenean. Nisl euismod consectetur sapien dictum id. Curabitur venenatis volutpat ligula enim a natoque viverra himenaeos vulputate massa mauris. Diam amet felis ultricies mus torquent integer suscipit quisque pretium.



Ornare montes pulvinar tincidunt sociosqu integer fermentum eros ultrices. Vehicula curae nulla feugiat viverra justo. Montes egestas efficitur etiam phasellus finibus faucibus taciti est fringilla eget convallis. Mi viverra venenatis facilisi pellentesque tempor porttitor bibendum consectetuer.














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Class dictum fusce sodales nec inceptos senectus libero ultrices at. Pretium elementum scelerisque mus facilisi justo ante aliquam sodales ultrices convallis efficitur. Taciti sapien ultrices nec fringilla morbi parturient in. Pede consectetuer ullamcorper tortor cubilia pulvinar non praesent. Himenaeos suscipit penatibus justo hac urna elementum orci. Nostra pulvinar suscipit montes dictum integer sapien dapibus bibendum duis eget a.



Letius magnis vulputate habitant augue scelerisque accumsan massa nostra. Ornare feugiat quam elit euismod odio fermentum malesuada eros tincidunt urna lectus.



Morbi sem gravida in consectetur vehicula. Laoreet praesent eleifend scelerisque proin curae nec ultricies vehicula turpis tempor eu. Libero fringilla arcu ad malesuada tristique. Fusce volutpat eget bibendum ridiculus mattis vivamus arcu purus. Nunc senectus dignissim tellus suscipit convallis himenaeos curabitur dictumst. Vel scelerisque viverra consectetur finibus aliquam. In cubilia ornare ridiculus hendrerit mollis sit ligula sollicitudin. Purus et lorem curae pellentesque lacus.









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Dictum ridiculus ligula natoque imperdiet felis. Suscipit eu neque si magna cubilia fermentum. Suscipit viverra ac nunc odio ultricies feugiat fames lacus congue.



Montes nam quis laoreet sapien auctor tortor nec. Consequat viverra purus metus nibh porttitor cursus ex.



Himenaeos taciti erat risus consequat fermentum ullamcorper. Pede congue integer eu natoque amet dui conubia vestibulum justo. Congue rhoncus platea facilisis lacus laoreet conubia. Semper integer risus molestie lobortis fusce. Pede ullamcorper curae pulvinar odio ornare.





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Maecenas nisi odio lectus in consequat. Porta pretium aptent purus ridiculus leo gravida facilisis at. Imperdiet laoreet donec consectetuer tincidunt enim litora consectetur hendrerit montes facilisi.



Felis pulvinar parturient ad tincidunt himenaeos posuere. Maximus torquent habitasse finibus dignissim urna inceptos lectus mollis dictumst pretium.



Pellentesque mollis orci cubilia dictum nec consectetur. Est quisque praesent orci consectetuer malesuada tempus habitasse. Aenean sodales condimentum curabitur velit himenaeos. Malesuada eros aliquam lacinia fermentum letius proin.





Mus nascetur condimentum pede

Venenatis feugiat nostra consequat duis nam non pharetra dictum lacus sem. Ridiculus pulvinar suspendisse nullam penatibus sagittis rhoncus vitae id congue fames morbi. Ligula mus ultrices potenti nisi dictum.



Bibendum rhoncus nec eleifend senectus ante inceptos. Lacinia iaculis si posuere porttitor vel. Interdum faucibus letius condimentum id quam erat cursus nunc elementum.



Himenaeos fusce et curae cras lacus lectus sagittis duis imperdiet. Ex nisi ligula ac parturient nascetur purus torquent.








factory interior as industrial background





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      <title>
      <![CDATA[ blockquote TEST ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/biovia/blockquote/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/275346</guid>
      <pubDate>Thu, 27 Feb 2025 09:12:58 GMT</pubDate>
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Tempus gravida condimentum sed torquent class donec scelerisque rutrum. Elit cras interdum habitant dis porta. Risus odio inceptos tristique ullamcorper in sed mi.









Malesuada feugiat commodo 3DEXPERIENCE urna hac ligula facilisis dapibus nascetur eu. Nibh taciti lacinia turpis pede eleifend urna italic si phasellus imperdiet. Donec augue highlight urna ad curabitur aliquam convallis fringilla imperdiet magna. Internal link and external link.









2 Malesuada feugiat commodo 3DEXPERIENCE urna hac ligula facilisis dapibus nascetur eu. Nibh taciti lacinia turpis pede eleifend urna italic si phasellus imperdiet. Donec augue highlight urna ad curabitur aliquam convallis fringilla imperdiet magna. Internal link and external link.





NEW Malesuada feugiat commodo 3DEXPERIENCE urna hac ligula facilisis dapibus nascetur eu. Nibh taciti lacinia turpis pede eleifend urna italic si phasellus imperdiet. Donec augue highlight urna ad curabitur aliquam convallis fringilla imperdiet magna. Internal link and external link.

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      <![CDATA[ [Do not delete] Text style ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/enovia/do-not-delete-text-style/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/273744</guid>
      <pubDate>Wed, 22 Jan 2025 06:16:22 GMT</pubDate>
      <description>
      <![CDATA[ To test all the text styles available in the back office.
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Index



m2, m3



H2O, CO2







Example



Condimentum enim pretium malesuada leo cubilia. Orci libero viverra curabitur nostra primis felis proin commodo. Nunc proin integer scelerisque fusce vivamus ullamcorper dictum nibh senectus congue. Est eu venenatis integer torquent conubia dictum vivamus euismod sed mattis libero1.



Sapien nullam ligula tristique nascetur litora posuere leo. Ridiculus magna nisl mauris maximus placerat mattis lectus aliquet eu cursus. Eleifend turpis placerat id pretium interdum orci pharetra leo augue mus potenti. Curae turpis primis facilisis cubilia quam justo arcu. Sed faucibus letius maximus ligula porttitor eleifend habitasse luctus sagittis sollicitudin ad. Augue ornare fames CO2 aliquam commodo dui nascetur sociosqu letius. Luctus velit tellus pharetra placerat dignissim sagittis interdum dictum.



Hendrerit nunc curae ipsum nisl nec eros. Neque erat odio tempor tempus malesuada tristique faucibus. Aptent mus odio leo phasellus H2O ullamcorper. Hac litora aliquet in lectus mauris auctor elementum vehicula risus condimentum. Inceptos molestie pede nascetur parturient ipsum feugiat semper aliquet. Eros habitant dignissim ridiculus est magna sed vel imperdiet.



Commodo tincidunt turpis felis sollicitudin nisi vel. Metus rhoncus leo et placerat vehicula felis venenatis faucibus. Penatibus mus suspendisse lobortis iaculis nisi mi aenean proin pede. Litora dolor finibus dapibus hendrerit nunc morbi quam facilisi maximus ornare duis2. Sed si efficitur duis facilisis ullamcorper mauris felis feugiat commodo rutrum magna. Faucibus aptent pharetra dictumst duis venenatis porttitor quisque magnis.



Maecenas in letius rutrum fames sed lacinia dignissim nascetur eros. Turpis facilisi semper aliquet enim torquent habitasse aptent lacus magnis suspendisse dignissim. Nunc tempus purus platea pretium vivamus. Etiam convallis metus letius nascetur sagittis lorem. Vestibulum nisi per porta convallis pulvinar euismod est curabitur dapibus ultricies commodo. Tempus per pretium vulputate quisque rhoncus feugiat integer lacus fringilla tempor magna. Sodales tincidunt nascetur odio torquent penatibus. Dignissim erat parturient quisque mus fames euismod bibendum nascetur magna. More information here.



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      <title>
      <![CDATA[ Fueling the Future of Energy ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/netvibes/fueling-the-future-of-energy/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274041</guid>
      <pubDate>Thu, 28 Nov 2024 08:47:03 GMT</pubDate>
      <description>
      <![CDATA[ Discover how a leading company in the energy sector is powering a carbon-neutral future through electricity with NETVIBES data science solutions on the 3DEXPERIENCE© platform.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
CHALLENGE



A multinational leader in the energy sector found that data silos were making it difficult to manage costs, make accurate, timely decisions and avoid project delays. The company needed a 360-degree view of its assets, along with analytics and monitoring dashboards to help strengthen plant performance. In addition, it wanted a single source of truth that would help it optimize its engineering projects and boost overall competitiveness.



SOLUTION



The company chose NETVIBES data science solutions on the 3DEXPERIENCE platform to help it manage its capital projects with precision. Asset Information Intelligence solutions provide it with a single source of truth, powerful data analysis and real-time insights, along with enhanced collaboration capabilities.



BENEFITS



Users are able to make better decisions, backed by the insights that come from connected data analytics. Real-time visibility on program data, coupled with a dashboard view that contextualizes knowledge, documents and resources, has enabled the company to drive more efficient project management, accelerate project delivery and reduce construction and operating costs.







Paving the Way for Sustainable Power



A carbon-neutral energy future through electricity – that is the mission of one multinational leader in the energy sector. To help achieve it, the company is building and operating several energy plants.



In capital projects like these, even the smallest problem can cause long delays and cost overruns – all of which deter customers and governments, whose backing is crucial. However, it was difficult for the organization to avoid these issues because project data was spread across many different systems and directories. This caused a lack of visibility over millions of complex data items for equipment to be manufactured, installed and tested. It made it difficult for engineers to identify issues and next steps, or to see the impact their decisions would have in other areas like purchasing, subcontracted studies or on site. As a result, previous projects had encountered delays and extra costs.



Breaking down those data silos was essential to optimize the company’s control of engineering process. As well as bringing its data together, it wanted to be able to analyze it and visualize it in a way that would help project managers:




understand how to deliver each project on time, on budget and on specification,



draw on past experience to continuously improve planning and minimize errors,



identify potential risks ahead of time and take effective measures to reduce them.




The company had previously implemented NETVIBES data science solutions to provide change management dashboards and 360-degree views of assets. Next, it chose NETVIBES Asset Information Intelligence solutions on the 3DEXPERIENCE platform, to create a virtual twin of its program management that would incorporate key performance indicators (KPIs) and support precise dashboards to show project progress.



A Single Source of Truth



At the heart of the solution, NETVIBES integrates data from the company’s main IT systems and delivers a complete, dashboard view of assets and construction progress. It orchestrates all the information around an object, asset or process – including 3D and 1D drawings, metadata and documents – and makes it available in the context the user needs.



NETVIBES collaborated closely with the organization to develop a proof-of-value application that combined on-premise data in the 3DEXPERIENCE platform with data science capabilities in the cloud. This allowed the company to see how the solution would work, and how it could meet both their current and future project visibility needs.



In particular, the solution stood out from competing offers because it allows the company to connect natively to all its data and gain real-time insights from it. Collaboration would be easier, since the 3DEXPERIENCE platform was designed to help disparate teams work together.



Mastering Requirements Management



Making the data intuitive has made all the difference, and that is where the solution’s semantic graph index (SGI) cloud comes in. It makes it possible to manage and cross-examine data from different sources and present the information in a way that makes sense to individual users and their job role. Having instant access to the right knowledge, processes and documentation has helped the company to enhance its capital project management in several ways.



One priority in the client roadmap is to be able to project KPIs onto the virtual twin, in effect building them into the project from the start. Users will be able to analyze the maturity of requirements and explore how they relate to objects in the system, in alignment with business rules. This would enable the organization to improve its management of requirements monitoring, carry out basic and detailed design reviews and validate the different construction phases of its energy power plant projects.



Historical analysis of requirements could also help users to respond more efficiently to any volatility in requirements. By factoring in the way requirements have evolved during past projects, the solution allows them to draw on the organization’s experience and anticipate future developments.



Intelligent Equipment Assignment



Assigning equipment is one area of project management that should be simple. In reality, it often involves project managers wading through details to identify the appropriate equipment and request it for their project – only to find that the piece they wanted is already in use elsewhere.



NETVIBES simplifies this process by bringing together all the data surrounding the equipment – its 3D representation in the 3DEXPERIENCE platform and the metadata that resides elsewhere. Each piece is cross-analyzed by family, metadata and zoning so that it’s easy to identify the most suitable components and apply them to the project.



With this information provided in a single, dashboard view, the project manager can filter out any equipment that is already assigned before they start their search. Then they can explore the available pieces to find the ones that are suitable for their current project. Once that’s done, they simply select the equipment they need and assign it by dragging and dropping it into the relevant task on the dashboard.



Optimizing Project Control



Having a single source of truth has empowered the company to improve its control of capital projects. For example, threads such as construction, engineering and sourcing all happen on different timelines throughout a project, but they are all critical when it comes to meeting deadlines and budget commitments. NETVIBES puts all these threads into context so that managers can anticipate and control project delays.



Predicted delays for ongoing projects are explained using similar past cases and recurrent behaviors that have been identified. By visualizing recurrent behaviors through time, the solution also indicates whether they are still relevant or have already been addressed – a crucial distinction for project managers who are deciding on their next steps.



As a result, the organization can create project plans much faster and optimize them in terms of objectives such as time, risk and resources, while aligning with established best practices and standards. Risks are minimized because the solution uses previous capital projects to identify them early on, so project managers can generate a timely mitigation plan.



Powering a Carbon-neutral Future



By using NETVIBES to break down silos and integrate data on the 3DEXPERIENCE platform, the company has created a single source of truth that helps it to keep capital projects on track. The real-time insights and enhanced collaboration that the solution provides are driving more efficient management and tighter control, enabling faster delivery of projects and reduced construction and operating costs. As the organization looks ahead, these capabilities are helping it to build the foundation for more sustainable power provision.



“It is critical for managers to have access to all information generated by an energy power plant project, including pumps and all data for a given asset,” said Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES. “As a single source of truth for all data in the platform, NETVIBES empowers the company to make better project decisions. In addition, other stakeholders can see project status at a glance, without having to dive deep into the platform.”




It is critical for managers to have access to all information generated by an energy power plant project. As a single source of truth for all data in the platform, NETVIBES empowers the company to make better project decisions.
Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES



Learn More Here



Download the eBook&nbsp;to discover more NETVIBES data science solutions in action!




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      <title>
      <![CDATA[ Transportation and Mobility Are Transforming ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/transportation-mobility/transportation-and-mobility-transforming/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/270754</guid>
      <pubDate>Mon, 28 Oct 2024 04:46:00 GMT</pubDate>
      <description>
      <![CDATA[ Explore T&M trends reshaping OEMs and suppliers
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
The transportation and mobility (T&amp;M) sector is evolving rapidly, driven by rising vehicle complexity, technological advancements, and shifting consumer demands. Important trends—such as electrification, the growing role of software in vehicle design and functionality, and changing business models—present startups and SMBs in the T&amp;M industry with both exciting opportunities and significant challenges. 



This article explores those opportunities and challenges and highlights the technological capabilities that smaller original equipment manufacturers (OEMs) and suppliers need to navigate the changing T&amp;M industry landscape.



Electric Vehicles and Alternative Fuels



The most significant trend in the T&amp;M industry is the shift from traditional internal combustion engine (ICE) vehicles to battery electric vehicles (BEVs), which run entirely on rechargeable batteries, and hybrid electric vehicles (HEVs), which run on a combination of battery power and traditional fuels. Consumer demand for more sustainable vehicles and government and industry policy targets are driving OEMs to develop new batteries that charge more rapidly and extend these vehicles’ ranges. Such improvements are essential for furthering their widespread adoption, but the complex chemistry and design requirements of EV batteries make it difficult to optimize their designs for efficiency while keeping costs down. In addition, most EVs today rely on lithium-ion batteries, which require the mining of rare elements and raise their own environmental concerns.



Hydrogen-powered vehicles, particularly fuel-cell electric vehicles (FCEVs), represent another alternative to ICE vehicles and conventional HEVs. These vehicles emit only water vapor and can be refueled more quickly than BEVs charge. Despite these advantages, the costs and safety challenges of producing, storing, and distributing hydrogen fuel have thus far limited the market for hydrogen-powered vehicles.



Software-defined Vehicles and Increased Connectivity



The growth of software-defined vehicles (SDVs) represents another important transition for T&amp;M companies. Unlike traditional vehicles defined by mechanical and electrical hardware, SDVs are built around a central software architecture that controls nearly all vehicle functions. This enables the smart, connected functionality and personalized driving experiences customers increasingly expect. SDVs allow for over-the-air (OTA) updates that can improve functionality and facilitate the addition of new features throughout the vehicle’s lifestyle. Advanced software is also crucial to the ongoing development of autonomous navigation systems. However, integrating high-performance computing platforms, advanced sensors, and increasingly sophisticated software systems into vehicles requires an overhaul of the vehicle design process. Companies must therefore rapidly build software development expertise and ensure their new vehicle architectures and capabilities comply with safety and cybersecurity standards.



Assisted and Autonomous Driving



The rise in software-defined functionality in today’s vehicles has coincided with the development of assisted and autonomous driving systems. Advanced driver-assistance systems (ADAS) provide numerous safety enhancement features, such as adaptive cruise control and lane-centering. These features, many of which now come standard on numerous makes and models, automatically adjust a vehicle’s speed or lane position to maintain a safe distance from others on the road. Today’s vehicles are also often equipped with enhanced warning systems that alert drivers to potential frontal collisions and blind spot threats. Some systems even offer traffic sign recognition to keep drivers informed of speed limits and navigation changes.



Autonomous driving systems, which enable vehicles to operate without human intervention, are also becoming more advanced. These systems require a significant amount of computational power, and their technical complexity makes it difficult to implement the high levels of automation required to satisfy regulators’ safety concerns. As a result, autonomous driving remains largely experimental.



New Business Models



The T&amp;M industry is also facing disruption from alternative business models that redefine the relationship between vehicles and consumers. Subscription-based models allow customers to access a fleet of vehicles—with maintenance and insurance included—for a recurring fee. This enables them to switch between models and brands without committing to a lease or purchase agreement. Similarly, mobility-as-a-service (MaaS) models integrate multiple modes of transport, such as ride sharing, car sharing, and public transportation, into a single on-demand service available through a digital platform. This model may be particularly attractive to urban customers who value convenience and flexibility more than car ownership.



Advanced Digital Tools Provide Critical Capabilities



The increased complexity of vehicle systems and their growing reliance on software requires startups and SMBs to adopt design and development solutions that enable them to share information and collaborate across engineering domains and functional departments more efficiently. These companies must also be able to streamline the integration of numerous vehicle systems and verify and validate the behaviors and performance without relying extensively on costly, time-consuming physical prototyping and testing. In addition, cloud-based technologies can provide smaller companies the scalability, flexibility, and powerful computing resources they need to manage large amounts of data and integrate new services, all without significant hardware investments. By embracing modern digital tools and the capabilities they provide, T&amp;M startups and SMBs can navigate the challenges of the industry’s landscape, reduce time-to-market, and more readily pursue opportunities to innovate and capture market share. 



To learn more about how startups and SMBs can manage the challenges of design and manufacturing in the T&amp;M industry, check out Lifecycle Insights’ Transportation &amp; Mobility Industry Trend Report: A Guide for SMBs and Startups.











Disclaimer: This post was written by Lifecycle Insights and may not reflect the official position of Dassault Systèmes.
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      <![CDATA[ Biotherapeutics: What Do We Make Next? ]]>
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      <guid>https://blog--3ds--com.apsulis.fr/guid/270366</guid>
      <pubDate>Wed, 09 Oct 2024 18:39:22 GMT</pubDate>
      <description>
      <![CDATA[ For years, computational methods for small molecule drug design have offered numerous algorithms and methodologies to help generate new ideas and guide the iterative process of lead design and…
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The question of what should we make next has challenged the world of drug discovery for decades. For years, computational methods for small molecule drug design have offered numerous algorithms and methodologies to help generate new ideas and guide the iterative process of lead design and optimization. For a particular drug target, these methods help to identify high-quality candidates that may eventually advance to clinical development with less experiments and time in the lab. From the early days of combinatorial chemistry and bioisosteric replacement to ligand-, fragment- and structure-based design, there have been many tools, leveraging numerous algorithms that suit your project constraints and design criteria.&nbsp; More recently, AI and machine learning algorithms have been popular in allowing researchers to rapidly explore more ideas in the chemical space and propose novel structures that a medicinal chemist may not have considered trying out when looking for new drugs.



Until recently, the computational design tools for biotherapeutics seemed to require more expertise, and to be more sparse and application-specific compared to the tools that exist for small molecule therapeutics. Of course, there are computational design algorithms available such as homology modeling, protein-protein docking and combinatorial scanning mutagenesis for general protein modeling and binder design, which are used in biotherapeutics lead discovery and optimization. For designing certain types of biological therapies, such as monoclonal antibodies, there are methods such as affinity maturation, humanization and immunogenicity prediction algorithms. However, to help answer directly what variation of our biotherapeutic we should make and test next, two recent AI methods, RFDiffusion and ProteinMPNN, have totally changed the nature of biotherapeutics discovery. These tools have the potential change the way we design biotherapeutics by helping to identify novel candidates that the computational and molecular biologists may not have considered.



Generating Proteins with AI: RFDiffusion and ProteinMPNN



RFDiffusion is a cutting-edge generative AI algorithm that can &#8220;diffuse&#8221; a collection of amino acids into a protein structure. The diffusion process starts with a random, noisy collection of atoms and, through a series of controlled refinements the algorithm makes adjustments to the structure to reduce the noise and move closer to a biologically realistic and functional protein structure. One common analogy for the diffusion process is developing a photo from a blurry image; iterative processing steps can take an initial grainy image and refine the detail and clarity to produce a final clear picture.



RFDiffusion can be utilized for a number of different biotherapeutic design challenges, such as engineering a biologic that can bind to a viral protein to neutralize the virus. With antibody structures or other protein-protein systems, RFDiffusion can be used to design new protein scaffolds that may improve binding affinities or enhance the stability of the binding partners. RFDiffusion can be also used to generate enzyme therapeutics that may break down a specific substrate to treat metabolic disorders. Beyond biotherapeutics, RFDiffusion has potential to help design proteins for industrial and biotechnological applications such as making enzymes that catalyze specific chemical reactions or proteins that suit very specific conditions including low or high temperature, pH, etc.



ProteinMPNN is a state-of-the-art neural network that can predict one or more probable protein sequences given a protein structure. This algorithm has been published with success in one of the most critical aspects of protein sequence design – generating sequences that fold into a stable protein/peptide with propensity to crystallize, facilitating the structure determination of these proteins. ProteinMPNN can be used in conjunction with RFDiffusion to generate new protein designs such as new enzymes or antibodies that can be further evaluated for desired properties such as stability, activity, affinity, and specificity. One of the strengths of ProteinMPNN is its ability to generate multiple sequence variants. This ability is invaluable as different variants provide more options to test and identify candidates with the best performance in terms of efficacy, safety, and manufacturability. Just as significantly, these variants also provide alternative leads when candidates encounter unforeseen issues in protein optimization, during protein expression, or ADMET challenges such as solubility and immunogenicity.



Together, RFDiffusion and ProteinMPNN significantly expand the biological space that can be explored in silico before biologists need to commit to expensive and time-consuming physical experimentation.  They have the potential to open up exciting avenues for more intelligent, model- and data-driven workflows driving innovation in biotherapeutic design.



Generating Proteins with RFDiffusion and ProteinMPNN in Discovery Studio Simulation



In BIOVIA Discovery Studio Simulation, a new Generate Protein Scaffolds protocol now provides easy access to RFDiffusion workflows, the first of which is motif scaffolding. Users can start with a specific part of an existing protein (the motif) and design a complete new protein scaffold that incorporates this motif. This approach allows precise control over the functional regions of the protein, as well as control over the protein scaffold design, via different model weights that suit particular proteins and complexes.



Figure 1- Discovery Studio Simulation users now have access to motif scaffolding with RFDiffusion.



A second new protocol, Generate Protein Sequences, allows users access to not only ProteinMPNN, where they can easily define sequence residues for design, but also to LigandMPNN and SolubleMPNN models. LigandMPNN is an extension to ProteinMPNN that is able to consider protein, small-molecule, nucleic acid, and metal ion ligands as additional context for designing sequences, with the potential to improve the chemical properties of the designed sequences. SolubleMPNN could be a better model to use when protein solubility is part of your design criteria. Users can determine the degree of sequence diversity and confidence desired, as part of the generative design, and have the ability to control the bias of particular amino acids.



Figure 2- Discovery Studio Simulation users can now generate new sequences using ProteinMPNN models and use AlphaFold/OpenFold to generate their 3D structures for further applications.&nbsp;







These two significant new enhancements are exciting additions to the biotherapeutics and protein design tools in Discovery Studio Simulation in the 3DEXPERIENCE® Cloud, which already includes AlphaFold and OpenFold AI structure prediction. They expand the ever-growing arsenal of powerful AI tools for molecular modelers and biologists to help answer the question of “what to make and test next” and accelerate the rational design of biologics. In combination with the existing physics-based methods in Discovery Studio Simulation, users can rapidly explore many more possibilities in silico before arriving at the final handful of candidates that are ready to become a successful commercial biotherapeutic or a biological to be used in agriculture, food and beverage, or environmental industries.



Nobel Prizes in Chemistry and Physics



This year’s Nobel Prizes in Chemistry and Physics celebrate how AI is pushing the boundaries of scientific research. John J. Hopfield and Geoffrey E. Hinton were awarded the Nobel Prize in Physics for their foundational discoveries in machine learning with artificial neural networks, while David Baker, Demis Hassabis, and John Jumper received the Nobel Prize in Chemistry for breakthroughs in computational protein design and protein structure prediction.



At BIOVIA, we are proud to be part of this AI revolution. By integrating AlphaFold2, OpenFold, RFDiffusion, and the ProteinMPNN family of models into our platform, we empower researchers with cutting-edge tools for protein structure prediction and protein design.



Watch the video to learn more how Discovery Studio Simulation now helps users generate novel biologics with RFDiffusion and LigandMPNN models.
















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      <![CDATA[ Cloud sovereignty and investment compliance ]]>
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      <link>https://blog--3ds--com.apsulis.fr/industries/business-services/cloud-sovereignty-and-investment-compliance/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/269100</guid>
      <pubDate>Thu, 12 Sep 2024 07:39:56 GMT</pubDate>
      <description>
      <![CDATA[ Discover how to integrate innovation and net-zero goals with data security and compliance risks through the power of cloud sovereignty
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Financial services institutions recognize the huge value of cloud computing, yet as adoption rates grow, so do concerns around data security. Sovereign cloud offers a way for them to launch innovative investment products and services, better understand the market, and adhere to ever stringent data security regulations.



The innate cost effectiveness, flexibility and scalability of cloud computing makes it an engine for transformative change in most industries today. As many as 91% of banks and insurance companies have embarked on cloud transformation journeys to become more agile, innovative and productive. And yet the vast majority aren’t tapping into the full potential of those benefits as they’ve only moved a small proportion of their business-critical operations to the cloud.



Why? It ultimately comes down to data security. In one survey, global leaders cited “security and compliance risks” as a top barrier to achieving expected cloud value. To protect their most sensitive data and adhere to stringent regulatory requirements, banks and insurance companies still largely rely on private cloud and on-premises environments to house their core business applications. In some cases, this has hindered them from accessing new technology breakthroughs in the public cloud. However, a fast-emerging cloud computing architecture called sovereign cloud offers a way for even the most highly regulated industries to combine the best of both worlds of security and innovation.



Sovereign cloud is ultimately about storing critical data within a specific location, such as a local country or region, and protecting it from foreign access. It means that users can be sure that their data complies with all the latest data privacy and security standards in a certain country or sector. Over the last couple of years in particular, more major cloud providers have begun to offer sovereign clouds to keep up with demand for greater control over how data is used and shared.



Regulatory compliance and data protection in the sovereign cloud



In the investment space, companies must navigate a challenging and complex regulatory landscape. In 2023, financial institutions spent over US$206 billion on compliance alone.




Today’s fast-moving political landscape and fluctuating economic conditions play into the whole concept of sovereignty. Particularly in Europe, there’s a great deal of pressure on the financial sector to ensure information privacy and up their risk management strategies in accordance with the likes of the General Data Protection Regulation and the Digital Operational Resilience Act (DORA).
Taherah Kuhl, Vice President of Business Services at Dassault Systèmes



These challenges are compounded by the need to deliver greater transparency to investors. Rules like MiFID II (the second Markets in Financial Instruments Directive) and PRIIPS (the Packaged Retail and Insurance-based Investment Products Regulation) put pressure on banks and insurance companies to deliver accurate and clear information to support informed investment decisions. Data, then, and their ability to harness it at scale, implement associated controls and navigate an ever-changing regulatory landscape across multiple countries has become a key competitive differentiator.



For many, this requires a step change in how they manage investment and regulatory compliance – switching from a largely manual to a more automated monitoring approach. Cloud sovereignty opens up exciting opportunities for them to move more of their mission-critical operations to the cloud and take advantage of cutting-edge advances around artificial intelligence (AI) and machine learning (ML) to launch new products to market faster, safe in the knowledge that their data adheres to all the latest industry protocols.




Regulations are changing at an unprecedented pace and bring a lot of new constraints – there is more and more investment compliance to confirm, and these controls need more and more data to compute. Protecting banks’ and asset management companies’ position in the market requires a lot of analysis and intelligence. Asset managers need a new way of managing their funds with the support of technologies such as AI and process automation.
Philippe Miltin, CEO of OUTSCALE at Dassault Systèmes



Sovereign cloud solutions support ESG reporting



The rise of environmental, social and governance (ESG) reporting also fuels the need for greater data insights and transparency. Around 85% of chief investment officers factor ESG impact into their key investment decisions and growing, driven by mandates like the Sustainable Finance Disclosure Regulation (SFDR), which require financial institutions to provide ESG information to investors, such as a company’s carbon footprint across business functions and products.



Again, sovereign cloud offerings tied up with ESG impact measurement tools will play a pivotal role in helping the industry to manage reporting and achieve their sustainability goals.




Attention is really shifting to ESG and how to meet net-zero requirements. It’s no secret that there’s a lot of greenwashing still happening right now, so financial institutions must be diligent when it comes to labelling their bonds and investment products as being ESG compliant. Again, data-driven insights are critical.
Taherah Kuhl, Vice President of Business Services at Dassault Systèmes



Why financial services companies choose OUTSCALE



Banks and insurance companies increasingly look to sovereign cloud solutions like OUTSCALE Business Experience for Financial Services to support their operational and regulatory challenges as well as to optimize data management and automate certain tasks.




We’ve already worked with many financial institutions to provide our sovereign cloud solution. Facing different regulations in different geographies, they must show that they have the correct security credentials in place and that increasingly means they need to use cloud environments with the recognized certifications for specific regions. Looking ahead, organizations may not completely replace their existing cloud providers, but they may have certain data that they prefer to store with a specialized sovereign cloud provider.
Taherah Kuhl, Vice President of Business Services at Dassault Systèmes



Packaged within OUTSCALE, users can expect:




Strong industry expertise and awareness of the issues financial institutions face.



Powerful AI models and proprietary algorithms.



Sovereign cloud environment to manage compliance with industry regulations: OUTSCALE’s commitment to legal and regulatory compliance sets it apart as a trusted partner, particularly on French territory.



Global presence: OUTSCALE’s agility to adapt to changing national and international regulations positions it as a reliable partner for financial institutions



Sustainable platform to support the financial services in their ESG and net zero objectives.



Independent technology provider: Financial institutions recognize the value of sourcing services from OUTSCALE rather than competitors within their own sector, appreciating OUTSCALE&#8217;s focus on innovation and tailored solutions.





Today, other vendors might offer parts of our solution, but none is proposing a comprehensive experience running on a sovereign cloud to ensure the security of information. OUTSCALE promises to rationalize processes and enhance overall efficiency, leveraging the power of AI to automate low-value tasks. This efficiency and client-centric security hold the potential to improve the investment banking experience and contribute to the global positive transformation of the industry.
Philippe Miltin, CEO of OUTSCALE at Dassault Systèmes















Taherah KUHL, Vice President Business Services Industry, Dassault Systèmes



Taherah has worked at Dassault Systèmes for the past 7 years. Focused on the Financial Services &amp; Logistics industries globally, Taherah is responsible for driving the industry strategy and vision.&nbsp;LinkedIn profile



Philippe MILTIN &#8211; CEO of OUTSCALE, Dassault Systèmes



After more than fifteen years at Bull and then Atos, Philippe Miltin assumed leadership at OUTSCALE, a Dassault Systèmes brand, in September 2022. His mission is to position OUTSCALE as the sovereign and sustainable operator of trusted experience as a service. LinkedIn profile
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      <![CDATA[ Virtual Twin Experience Powered by Cloud: Transforming Product Design and Manufacturing ]]>
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      <link>https://blog--3ds--com.apsulis.fr/topics/cloud/virtual-twin-experience-powered-by-cloud/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/268281</guid>
      <pubDate>Fri, 16 Aug 2024 03:29:30 GMT</pubDate>
      <description>
      <![CDATA[ Unlock efficiency and innovation in product design & manufacturing with Virtual Twin Experience powered by Cloud.
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In today&#8217;s fast-paced and highly competitive manufacturing landscape, product design &amp; manufacturing face numerous challenges. Traditional methods often cannot keep up with the complexities of modern day production. Especially because of the silos within organizations—where design, manufacturing, production planning, and maintenance repair operations (MRO) operate independently—leading to inefficiencies and hinder collaboration. The lack of integrated data and real-time feedback mechanisms further aggravates these issues, resulting in increased errors, higher costs, and longer time-to-market.



Virtual Twin Experience



The Virtual Twin Experience, is an advanced version of the digital twin concept pioneered by Dassault Systèmes. Unlike the digital twin, which is a mere static digital representation of a physical object, the Virtual Twin Experience is an interactive, executable model that connects to real-world processes in real-time. This integration allows for continuous updates and improvements based on actual data, creating a system that bridges the gap between the virtual and physical worlds.



By combining data from across all stages of the production process, the Virtual Twin enables total process simulation, offering extraordinary insights into operations. The 3D model of the entire system, allows designers and engineers to test and simulate various conditions to ensure optimum performance, even before the product hits manufacturing. Significantly reducing errors and enhancing the quality of the final product.



Benefits &#8211; 




Productivity Boosted by up to 30%: Accelerates critical processes, reduces product errors, and increases efficiency, leading to enhanced product outcomes.



Improved Business Resilience: Unlimited planning scenarios, better understanding of risk exposure, and enhanced adaptability and robustness, making companies more resilient.



Sustainable Innovation: Supports continuous improvement without extensive physical resources, promoting sustainable innovation by minimizing waste and energy consumption.



Enhanced Safety: Techniques can be refined safely in the virtual environment before real-life application, improving the outcomes of risky tasks.



Cost Reduction: Virtual testing eliminates the need for physical prototypes, enabling informed decision-making with real-time data, optimizing efficiency, and minimizing errors.



Early and Cost-Free Failure Identification: Issues can be identified and resolved digitally, avoiding costly mistakes in physical production.








3DEXPERIENCE Cloud in Virtual Twin Experience



3DEXPERIENCE Cloud-based solutions enhance the capabilities of the Virtual Twin Experience by providing instant access to valuable insights into real-world performance. This integration improves operational resiliency, reduces costs, and offers a competitive advantage. Merging virtual and real worlds on the cloud enables improved decision-making, reduced travel costs, and sharing of best practices.



Additionally, cloud-based virtual twin technologies facilitate sustainable innovation by shortening time-to-market, reducing time-to-simulate, and streamlining workflows.



3DEXPERIENCE Cloud Summit India 2024



To further explore the capabilities of the Virtual Twin Experience on Cloud, Dassault Systèmes is excited to announce the fourth edition of the highly anticipated 3DEXPERIENCE Cloud Summit India. Taking place on August 21, 2024, at the JW Marriott in Bengaluru, this summit promises a dynamic day filled with thought-provoking, engaging, and interactive sessions, all set to showcase the transformative power of cloud-based virtual twins technology.



With the vision of &#8220;Virtual Twin Experience Powered by Cloud,&#8221; this year&#8217;s summit aims to bring together all aspects of business on a single cloud-based innovation platform. Uniting visionaries, pioneers, and innovators from startups and industry leaders in sectors such as healthcare, electric vehicles (EV), drones, aerospace, and more. The event aims to unlock the potential of the 3DEXPERIENCE SaaS (Software-as-a-Service) platform through Virtual Twin technology, enabling sustainable innovation and reshaping industry futures.



For more information on&nbsp;3DEXPERIENCE Cloud Summit India 2024 click here.



Author &#8211; Sreenivasa Rao PUDIPATLA &#8211; Industry Consultant – Technical Executive Manager, Dassault Systèmes India












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      <![CDATA[ Development of Innovative Drugs Using Materials Studio  ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/biovia/development-of-innovative-drugs-using-materials-studio/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/268131</guid>
      <pubDate>Tue, 13 Aug 2024 16:11:42 GMT</pubDate>
      <description>
      <![CDATA[ Discover how BIOVIA Materials Studio, with the Martini 3 force field, enhances lipid nanoparticle and membrane simulations for advanced drug delivery systems. Explore the benefits of molecular dynamics and coarse-grained simulations in optimizing therapeutic formulations.
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Introduction



Lipid nanoparticles and membranes are pivotal in the advancement of drug delivery and biomedical engineering. Lipids, which form the structural basis of cell membranes, are involved in critical cellular processes such as endocytosis, mitosis, and membrane transport. The study of lipid membrane dynamics and their interactions with proteins and RNA is essential for developing innovative drug delivery systems. These nanoscale structures are essential in developing novel medicines due to their ability to encapsulate and efficiently deliver therapeutic agents1.



BIOVIA Materials Studio (MS) provides a comprehensive suite of tools for simulating and modeling complex systems, making it an invaluable resource in this field. By utilizing molecular dynamics methods, researchers can predict the behavior and performance of lipid-based systems in various biological environments. Coarse-grained (CG) simulations, in particular, offer a powerful approach to studying large systems efficiently, delivering accurate results that are otherwise difficult to achieve both with all-atom simulations and laboratory experiments, which are extremely time-consuming and costly.



In this context, BIOVIA Materials Studio software offers a way to use the Martini force field, which is well-known for its ability to simulate lipids. The latest version, Martini 3, brings significant advancements in lipid simulation parameters2. Integrating Martini 3 into MS allows for precise and efficient modeling of lipid bilayers, liposomes, and lipid nanoparticles.



In this study, reference studies from the literature were used to recreate simulations to verify the formation of bilayers and evaluate the effectiveness of Martini 3 within MS. Observing the self-assembly of 1,2-Dipalmitoylphosphatidylcholine (DPPC) into bilayers3, which naturally occurs at physiological temperatures, serves as a benchmark for assessing simulation accuracy.



Building on this foundation, the second phase of our study explores more complex systems. Utilizing MS, we investigate the formation and stability of liposomes considering the aspiration of their usage as carriers for vaccines, such as the Hepatitis B vaccine, which utilizes 1,2-Dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) and 1,2-Dioleoyl-sn-glycero-3-phosphocholine (DOPC)4,5. By constructing the coarse-grain model of these liposomes and analyzing them within water solution, we aim to demonstrate the competency and efficiency of MS and Martini 3 for modeling large liposomes.



Our overarching goal in this study is to leverage the capabilities of BIOVIA Materials Studio and the Martini 3 force field to optimize the formulation of lipid nanoparticles. This will ensure better control over their physicochemical properties, thereby enhancing their therapeutic achievement and contributing to the development of more effective drug delivery systems.



The simulations described in this blog were all ran on the 3DEXPERIENCE cloud using the Materials Studio Simulation application.



Using Materials Studio to Create Large Lipidic Systems



BIOVIA Materials Studio is particularly useful for constructing large and complex lipid systems due to its advanced simulation capabilities and user-friendly interface. It can handle very large systems, allowing researchers to study macroscopic properties and behaviors that are difficult to examine with smaller models. The integration of the Martini 3 force field enhances the accuracy of lipid simulations, providing reliable results that mimic real-world behaviors. Coarse-grained simulations in MS are computationally efficient, making it possible to perform large-scale studies in a reasonable time. Using the coarse graining tool from MS, we can transform an all-atom molecule to a coarse-grained one (figure 1). At the same time a force field file for the bead system, using parameters from the Martini 3 forcefield, can be generated.











Figure 1 &#8211; DLPC molecule from all-atoms to coarse-grained model







After obtaining our coarse-grained molecule and setting its forcefield, we can generate mesoscale structures (Mesostructure) of various shapes. Materials Studio allows a user to create structures using the Mesostructure builder tool (figure 2). The user needs to enter the amounts of each coarse-grained molecules to go into each part of the structure.















Figure 2 &#8211; Mesostructure builder



Using this tool, we can generate either a random mixture of molecules, like in figure 3, a homogeneous box filled with DPPC and Water.







Figure 3 &#8211; Random mixture of DPPC and CG Water



Alternatively, molecules can be added to a predefined shape, as shown in figure 4 where we prebuilt a liposome made out of DOPE and DOPC (top), and a membrane made of DPPC (bottom).











Figure 4 &#8211; Prebuilt liposome (top) and a prebuilt membrane (bottom)



As an example, the basic steps to create a system with a membrane are: create the box, add the slab shape, and define the type of molecule for each compartment of the box with their relative concentrations in the Mesostructure builder tool.



The video 1 below shows these steps while going a bit further for the creation of the liposome model step-by-step.







System Equilibration and Production Phase



Once we have created the models, we can start running the dynamics. Several steps are necessary before the main production phase:




First geometry optimization with motion groups fixed,



Second geometry optimization without the motion groups fixed,



Short dynamic run (1000 ps), under NVT conditions with a time step of 0.1fs



Main production run with a time step of up to 30 fs gradually increased from initial time step with consecutive NPT dynamics simulations.








The systems and conditions used during our work are presented in Table 1



SystemCompositionFFRun time (ns)Box size (A)Pressure (bar)Temperature (K)Time Step (fs)BuildingI760 DPPC 70440 WaterMartini 3300350 x 212 x 128132530Pre-builtII1600 DPPC 60000 WaterMartini 3400210132530Self-assemblyIII900 DOPE 2400 DOPC 305500 WaterMartini 31000350140030Pre-builtIV750 DOPE 2400 DOPC 180000 WaterMartini 3250300140030Self-assembly Table 1-Systems summary



With the pre-built systems that corresponds to the membrane (I in the Table 1) and the liposome (III in the Table 1), we aim first to test the stability of the structures before letting them self-assemble from a random mixture.



Resulting Structures



After the main production phase, we check the stability of our structures by observing whether they maintain their membrane or liposome shapes throughout the run and whether the total energy of the system is equilibrated and remains stable during the run  For the membrane, the membrane thickness was compared to the reference articles3,4. From the random mixture of DPPC and water (Figure 5), we obtained a membrane formation after 300 ns of run, consistent with the reference and used the Mesocite analysis tool to calculate concentration profile and measure the membrane thickness (Figure 5). Although the estimated thickness of the self-assembled membrane is slightly larger than the reference value at the considered paper, overall, the DPPC arranged themselves in a bilayer that remains stable along the simulation in agreement with the reference article.











Figure 5 – Self formed membrane from DPPC (left) and Mesocite Concentration Profile on the DPPC Bilayer with the different head beads (Q1 and Q5) and tail beads (Cter) (right)



In Figure 6, you can see the resulting liposome from the prebuilt model after a 1000 ns dynamics simulation.











Figure 6 &#8211; Prebuilt liposome whole (top) and half cut (bottom) after a 1000 ns run (water was removed for better visibility)



In our simulations, the prebuilt models remained stable along the simulations, which encouraged us to run a random mixture of the lipids for each system and see if we could obtain the same structure during a self-formation.



From the random mixture of DOPE, DOPC and water, the liposome was almost completely formed after 1000 ns (Figure 6) of run, which was faster than the reference article.







Figure 7 &#8211; Time laps of the liposome formation (t=1ns-165ns-400ns-800ns)



In Figure 7, you can see snapshots from the dynamics simulations of the liposome self-formation. Starting from a random lipid mixture, first lipids aggregate into small liposomes and then fuse into a single liposome.



The video below shows the formation of the liposome along the run.







Conclusion



The journey through simulating lipid nanoparticles and membranes using BIOVIA Materials Studio (MS) and the Martini 3 force field has been an exciting one. These tools open up new possibilities for understanding how lipid membranes function and how they can interact with proteins and RNA, which is key for developing better drug delivery systems.



Our experiments have shown that MS and Martini 3 are powerful allies in modeling lipid bilayers, liposomes, and nanoparticles. The ability to handle complex, large-scale simulations efficiently and fast has been a game changer. Observing and analyzing how our lipid membranes and liposomes come together in the simulations was particularly satisfying, confirming the accuracy of our methods.



Looking ahead, we are excited to expand our library of lipids for liposome formulation. By incorporating a wider variety of lipids, we aim to create more complex lipid nanoparticle recipes, enhancing their potential for effective drug delivery.



In short, BIOVIA Materials Studio and Martini 3 are great tools for anyone looking to dive into the world of lipid-based drug delivery. As we continue to explore and refine these techniques, we are optimistic about the future of creating more effective and targeted therapies.



Bibliography:




Hou, X., Zaks, T., Langer, R., &amp; Dong, Y. (2021). Lipid nanoparticles for mRNA delivery.&nbsp;Nature Reviews Materials,&nbsp;6(12), 1078-1094.



Souza, P. C., Alessandri, R., Barnoud, J., Thallmair, S., Faustino, I., Grünewald, F., &#8230; &amp; Marrink, S. J. (2021). Martini 3: a general purpose force field for coarse-grained molecular dynamics.&nbsp;Nature methods,&nbsp;18(4), 382-388.



Marrink, S. J., De Vries, A. H., &amp; Mark, A. E. (2004). Coarse grained model for semiquantitative lipid simulations.&nbsp;The Journal of Physical Chemistry B,&nbsp;108(2), 750-760.



Parchekani, J., Allahverdi, A., Taghdir, M., &amp; Naderi-Manesh, H. (2022). Design and simulation of the liposomal model by using a coarse-grained molecular dynamics approach towards drug delivery goals.&nbsp;Scientific Reports,&nbsp;12(1), 2371.



Bulbake, U., Doppalapudi, S., Kommineni, N., &amp; Khan, W. (2017). Liposomal formulations in clinical use: an updated review.&nbsp;Pharmaceutics,&nbsp;9(2), 12.









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      <![CDATA[ BIOVIA Live Americas 2024 Recap: Innovation and Collaboration ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/biovia/biovia-live-americas-2024-recap-innovation-and-collaboration/</link>
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      <pubDate>Mon, 15 Jul 2024 14:44:14 GMT</pubDate>
      <description>
      <![CDATA[ BIOVIA Live Americas 2024 was held in Waltham, MA, May 21-23, 2024. This 3-day scientific summit brought together hundreds of scientists and technology experts….
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      <![CDATA[ 
 Audience at keynote session, BIOVIA Live 2024 Americas



BIOVIA Live 2024 Americas concluded its 3-day event in Waltham, MA, from May 21 &#8211; 23! With 5 tracks, 80+ sessions, we hosted hundreds of scientists and technology experts. This in-person scientific summit brought together leading minds in the community, fostering an environment of innovation, collaboration and new discoveries.



Optimized for Science



BIOVIA Live 2024 Americas offered many thought-provoking presentations, insightful roundtables, and networking opportunities. Industry leaders, renowned academics, and fellow scientific peers joined to share their expertise across various disciplines, with 12 different BIOVIA customers speaking over the two days.



Chris Strassel presenting on Materials &amp; Formulation in the BIOVIA Live keynote.







During the keynote session, product experts highlighted BIOVIA’s focus on sustainable practices. They discussed how BIOVIA solutions help scientists accelerate drug discovery using Artificial Intelligence (AI) and 3D molecular modeling and simulation, streamline lab R&amp;D processes, maintain robust quality systems, integrate virtual and real data (V+R) for predictive modeling, and collaborate across cross-functional teams through its scientifically-aware platform. These advancements demonstrate BIOVIA&#8217;s commitment to driving innovation and operational excellence across early research and drug discovery, scientific R&amp;D, engineering of sustainable materials, consumer packaged goods, quality management domains, and more.




I didn’t realize BIOVIA could offer so much.
&#8212; Customer Attendee







Sessions Led by Industry Experts and Client Speakers



From AI/ Machine Learning (ML) to battery material innovations to the future of regulatory management, here are some key highlights and takeaways.



Application of AI and ML in Scientific R&amp;D



We had several sessions discussing the applications of AI and ML across industries. Laurent Hoffer, PhD, from the Ontario Institute of Cancer Research, presented on how his team uses BIOVIA Generative Therapeutics Design to design and discover novel candidates for cancer therapeutics. David Kombo, PhD, from Sanofi, explained how he uses BIOVIA Pipeline Pilot to apply AI/ML in studying interactions between dynamic protein sequences and protein folding.



Our Biosciences Application Scientist, Kevin Cassidy, PhD, walked us through BIOVIA’s end-to-end collaborative solutions for small molecule design. He illustrated how multi-disciplinary discovery teams can work together collect AI-ready lab data, use that data to build predictive ML models and design high-quality drug molecules with AI and ML. Tien Luu, PhD, Senior Portfolio Manager for Discovery Studio Simulation, presented the latest enhancements, including integrating OpenFold/AlphaFold AI models for structure prediction.



These presentations not only showcased how BIOVIA enables scientists across industries to leverage AI/ML in their research but also sparked conversations about the future of AI in science and engineering.



 Generative AI for Molecular Discovery on 3DEXPERIENCE







Materials Innovation











During our Materials Innovation track, we were joined by partners and customers from Brown University, Carnegie Mellon University, Quantinuum, and our own BIOVIA experts. Md Jamil Hossain, PhD from Brown University, highlighted a crucial insight in the session &#8220;Simulations of Complex Electrolytes for Lithium-ion Batteries,&#8221; exploring how the Electric Double Layer (EDL) structure influences the formation of the solid electrolyte interphase (SEI).







Speakers demonstrated how they leverage BIOVIA Materials Studio to pave the way for innovative battery technologies.



Learn more about BIOVIA Battery Innovations here.



Lab of the Future



We had many great presentations and discussions about the future of the lab, and how new technology is making that future a reality today. Brian Rakowiecki presented how Johnson &amp; Johnson Innovative Medicine uses BIOVIA ONE Lab to dynamically create sample IDs and labels for calibration samples, eliminating data transcription errors in the lab. Gabriel Lurz of described how Sanofi built a data export automation protocol for cell culture data and vastly reduced scientist time spent wrangling data.



Learn more about how BIOVIA is making the Lab of the Future a reality with our partnership with ASCENSCIA.



Hands-on Training and Workshops



BIOVIA product expert provided hands-on training sessions on Pipeline Pilot Fundamentals.







The hands-on training sessions were popular and led to repeat sessions to accommodate all interested participants. Attendees had the opportunity to engage directly with BIOVIA solutions and technologies, gaining practical hands-on skills from BIOVIA product experts. Some of the most popular sessions included:




The ONE Lab Calculation Engine



Jupyter Notebook and Python Integration in Pipeline Pilot



Generative Therapeutics Design Deep Dive



Pipeline Pilot Fundamentals



Pipeline Pilot Analytics and Machine Learning








Fun Activities



BIOVIA also included fun activities like a lively photo booth, friendly ping-pong competitions, a yoga session and an offsite dinner for a relaxed atmosphere perfect for networking. Check out some of the memorable moments captured during these networking sessions:











Thank You to Our Attendees and the BIOVIA Community




It’s the right place with the right people for knowledge sharing and problem-solving with brilliant minds.
&#8212; Customer Attendee



 Group photo taken outside of Dassault Systèmes Boston Campus



If you couldn&#8217;t attend BIOVIA Live 2024 Americas you can join our community to stay updated, and plan to join us in May 19-21, 2025 in San Diego, CA. 



Up Next: BIOVIA Live 2024 Europe



For those in Europe, do not miss our Europe BIOVIA Live 2024 event, happening Oct 15-17, 2024. We invite you to join us in London, UK . Space is limited for the hands on workshops, so reserve your space today!
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