Building physically grounded protein representations is central to computational biology, yet most existing approaches rely on sequence-pretrained language models or backbone-only graphs that overlook...

Updated Protpardelle models with more robust motif scaffolding and multichain support - ProteinDesignLab/protpardelle-1c

We present Protpardelle-1c, a collection of protein structure generative models with robust motif scaffolding and support for multi-chain complex generation under hotspot-conditioning. Enabling sidech...

Join us at the Keystone Symposia on Machine Learning Applied to Macromolecular Structure and Function, March 2025, in Keystone, with field leaders!

A protein platform rapidly develops peptide-focused major histocompatibility complex class I binders with high specificity.