Designing Protein Binders Using the Generative Model Proteina-Complexa
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
Developing new protein-based therapies and catalysts involves the challenging task of designing protein binders, or proteins that bind to a target protein or...
Developing new protein-based therapies and catalysts involves the challenging task of designing protein binders, or proteins that bind to a target protein or small molecule. The search space for possible amino acid sequence permutations and resulting 3D protein structures for a designed binder is vast, and achieving strong, specific binding requires careful optimization of the interactions between…
More from NVIDIA Developer Blog
-
How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents
Oct 13
-
NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform
Oct 13
-
ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding
Oct 12
-
5 Steps to Create SimReady Assets for Robotics with Frontier AI Models
Oct 8
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.