Superbio.ai

?? Free API access to hundreds of AI models: We’re making it easier than ever to integrate 650+ bio AI models into your workflows. For a limited time, we’re giving the community free early access to test-drive our APIs and help shape their future. Sign up with this link: ?? https://lnkd.in/g23V3A6n What’s in it for you? ? Exclusive early access ? Direct input on features & functionality ? A private Slack with researchers & developers

?? Announcing Superbio Co-pilot: Finding the right AI tools for biomedical research shouldn’t require a machine learning degree. That’s why we’re building an AI knowledge assistant—designed to help you navigate our Bio-AI ecosystem with ease. Want to explore Superbio with a Co-pilot? Sign up below ???https://lnkd.in/gTnX7Yai We’re looking for beta testers to put it through its paces. As a tester, you’ll get: ? Free lifetime access to the Assistant ? 3 months of Superbio Boost for all workflows ? A say in shaping the future of AI-powered research

?? Webinar Alert: Unlocking better antibody design with ParaSurf Join Superbio and the researchers behind ParaSurf, Aggelos-Michael Papadopoulos et al, for a deep dive into how this AI model enhances antibody binding site prediction by analyzing both geometric and non-geometric features. Register here: https://lnkd.in/gkfWdD7P We'll cover: ? How ParaSurf outperforms existing methods ? Its impact on antibody research ? How it accelerates therapeutic & vaccine development If you're working in AI-driven drug discovery, this one's for you.

??♂? Happy to share that our team recently released over 125,000 public datasets accessible in-platform on Superbio. Users can now search datasets from CELLxGENE or the PDB with relevant keywords and phrases, save to Data Hub, and ingest into any of our models. Sign up for free to give it a try: app.superbio.ai

?? Excited to share that our platform recently got a design makeover! ?? Sleeker, smarter, and more user-friendly—this update is all about making your experience seamless (and cool): Transform your data into breakthroughs here -> app.superbio.ai

??♂? Happy to share that our team recently released over 125,000 public datasets accessible in-platform on Superbio. Users can now search datasets from CELLxGENE or the PDB with relevant keywords and phrases, save to Data Hub, and ingest into any of our models. Sign up for free to give it a try: app.superbio.ai

?? Happy to share that our team recently released RFDiffusion All-Atom, developed by the leading Institute for Protein Design, University of Washington. This model produces proteins with enhanced functions, such as the ability to bind to specific small molecules. Try here: https://lnkd.in/gv9C45uB

?? Happy to share that our team recently released ImmuneBuilder, a suite of deep learning models (ABodyBuilder2, NanoBodyBuilder2, TCRBuilder2) designed to predict antibody, nanobody, and T-cell receptor structures with state-of-the-art accuracy, significantly faster than AlphaFold2. This suite is developed by incredible researchers Brennan Abanades Kenyon, Dr. Wing Ki (Catherine) Wong, Fergus Boyles, et al. Try here: https://lnkd.in/gKyvDAjU

?? Happy to share that our team recently released RFDiffusion All-Atom, developed by the leading Institute for Protein Design, University of Washington. This model produces proteins with enhanced functions, such as the ability to bind to specific small molecules. Try here: https://lnkd.in/gv9C45uB

?? Happy to share that our team recently updated DiffDock to DiffDock-L, developed by incredible MIT researchers Gabriele Corso, Hannes St?rk, Bowen Jing,?Regina Barzilay, and?Tommi Jaakkola. Modeling molecular docking is critical in drug design. The new DiffDock is state-of-the-art and has significantly improved performance and generalization capacity. Try here: https://lnkd.in/g9E7wHQY