omtx/lula-2

Nesso-1 is a fast, structure-based protein–ligand binding-affinity model. Given a protein sequence and a ligand (SMILES / CCD code / SDF), it predicts a binding affinity scalar along with a binder/non-binder score.

!Python

Mirror of the Boltz-2 structure- and affinity-prediction weights, packaged for use with tt-bio on Tenstorrent hardware. The files are byte-for-byte identical to the upstream Boltz-2 release; this repo simply hosts them on the Hugging Face Hub so tt-bio can fetch them with huggingface_hub like every…