Models
Source code repository mirrored from GitHub (dauparas/LigandMPNN).
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of benchmarks.
Boltz-1 is an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands and…
ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone.
esm3-sm-open-v1 is trained on 2.78 billion natural proteins.
This set of model weights was released with the GitHub-compatible esm package format.
Mirror of the base ProGen2-base model (with slightly modified configuration and forward pass) by Nijkamp, et
Mirror of the base ProGen2-small model (with slightly modified configuration and forward pass) by Nijkamp, et
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
An encoder-only, half-precision version of the ProtT5-XL-UniRef50 model.
Pretrained model on protein sequences using a masked language modeling (MLM) objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.