Unlike black box models, which are difficult to interpret, glass box models reveal how simple physical equations link input features to target properties. Through Python integration and a low/no-code environment, BIOVIA Pipeline Pilot seamlessly incorporates SISSO++ and other Python packages into data pipelines, making advanced, interpretable machine learning accessible for tackling complex scientific challenges. Explore more on how interpretable machine learning models are advancing scientific insights in our latest blog by Dr. Gregory Price: https://go.3ds.com/hVL. #PipelinePilot
关于我们
BIOVIA solutions foster innovation, helping companies develop better products faster and cost-effectively. Our portfolio spans Scientific Informatics, Molecular Modeling, Data Science, Laboratory Informatics, Formulation Design, Quality & Compliance and Manufacturing Analytics, integrating diverse scientific fields from discovery to manufacturing. Trusted by over 2,000 companies across Life Sciences, Chemistry, Oil & Gas, Consumer Goods, Aerospace, High-Tech and Industrial sectors, BIOVIA counts all top 25 pharmaceutical and biotech companies, 20 of the top 25 chemical companies and leading consumer goods, oil and aerospace companies among its customers. Learn more about BIOVIA here: https://www.3ds.com/products/biovia/.
- 网站
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https://www.3ds.com/products/biovia/
BIOVIA的外部链接
- 所属行业
- 软件开发
- 规模
- 501-1,000 人
- 总部
- San Diego,CA
- 类型
- 上市公司
- 创立
- 2001
- 领域
- Research Informatics、Environmental Health & Safety、Enterprise Quality Management、Modeling & Simulation、Electronic Lab Notebook / ELN、Data Science、Laboratory Informatics、Formulations、Quality Document Management、Manufacturing Intelligence、Quality、Collaboration、Materials Management、Laboratory Management、CPV、Biological Registration、Chemical Registration、Procedure Execution和Tech Transfer
地点
BIOVIA员工
动态
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Editing documents in the Structured Document Editor is simple and intuitive. Follow Subra Narayanasamy as he walks you through the process. Curious to explore more capabilities of Structured Document Authoring? Learn more: https://go.3ds.com/mLU.
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?? Ready to explore new frontiers in protein structure prediction and design? With Discovery Studio Simulation, you can combine the power of RFDiffusion, LigandMPNN and SolubleMPNN with cutting-edge structure prediction tools AlphaFold2 and OpenFold to design and visualize novel proteins faster and more precisely on the #3DEXPERIENCE platform. ?? Check out this video to learn how this integrated workflow accelerates the design of novel biologics: https://lnkd.in/gqcPi7fv. #DiscoveryStudioSimulation
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Plastic waste is accumulating at an alarming rate, yet our understanding of its long-term persistence remains limited. In this publication, the authors used BIOVIA COSMOtherm to develop an ???? ???????????? screening of ionic liquids (ILs) for plastic recycling. Their evaluation revealed a good correlation between predicted thermodynamic properties and experimental results, with hydrogen bond interactions playing a key role. Explore the full publication here: https://go.3ds.com/o4p.
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Explore streamlined Quality Management on the #3DEXPERIENCE cloud! ?? In this demo by Subra Narayanasamy, see how to triage quality events such as Deviation or CAPA and perform similarity analyses seamlessly. Watch the full video here: https://go.3ds.com/CHp.
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Predicting physical-chemical properties such as solubility, partitioning and phase behavior is essential for advancing the chemical and pharmaceutical industries. Join Prof. Dr. Andreas Klamt — inventor of the COSMO and COSMO-RS methods and BIOVIA, Dassault Systèmes ambassador — for a complimentary, in-depth in-person block lecture at the University of Regensburg, Germany. This session will explore the molecular foundations of these critical properties, with a deep focus on liquid-phase behavior and the COSMO-RS method. As the driving theory behind BIOVIA’s COSMOtherm software, COSMO-RS offers a graphical and intuitive perspective on the “happiness of molecules in solution.” To register, connect with Prof. Klamt at [email protected].
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?? Explore a larger biological space in silico with ProteinMPNN on the #3DEXPERIENCE cloud platform! Discovery Studio Simulation now offers seamless access to LigandMPNN and SolubleMPNN, allowing users to generate new protein sequences with control over sequence diversity or bias over particular amino acids. When paired with RFDiffusion, ProteinMPNN allows the design of novel proteins optimized for affinity, specificity and stability. Learn more: https://go.3ds.com/CHB. #DiscoveryStudioSimulation
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Next week, we’re diving into the new science in Discovery Studio Simulation on the #3DEXPERIENCE platform: https://go.3ds.com/JWB. Join our Sr Product Manager, Dr. Tien Luu for an inside look at: ??Innovative AI methods for protein structure prediction and protein design, including OpenFold/AlphaFold2, RFDiffusion, ProteinMPNN models ??Collaborative, end-to-end solutions for small molecule therapeutics design, including GOLD by CCDC - The Cambridge Crystallographic Data Centre ??Latest scientific developments in #DiscoveryStudio 2025 on-prem
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Materials Studio offers a powerful, user-friendly platform for modeling a wide range of systems. But how exactly does it work? Our latest blog by Sophie Whitaker explores how #MaterialsStudio enables precise, efficient modeling of complex polymer systems. From cross-linked polyethylene (XLPE) to custom polymer networks, discover how united atom forcefields and #PipelinePilot integration provide both flexibility and advanced tools for polymer studies: https://go.3ds.com/yGg.
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?? Unlock new possibilities for novel therapeutics with RFDiffusion on the #3DEXPERIENCE platform! BIOVIA Discovery Studio Simulation users can now access motif scaffolding with RFDiffusion through the new Generate Protein Scaffolds protocol. Starting from a specific protein motif, you can design an entirely new protein scaffold that incorporates this motif, gaining precise control over both functional regions of the protein and the scaffold design. Discover more in our blog: https://go.3ds.com/7Mi. #DiscoveryStudioSimulation