Models

Code for running RFdiffusion

Source code repository mirrored from GitHub (dauparas/LigandMPNN).

Code for the ProteinMPNN paper

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Model artifact mirrored from the HuggingFace Hub.

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.

Model artifact mirrored from the HuggingFace Hub.

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

We have released ProtGPT3!

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.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).

This repository contains 82 Clan-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…

This repository contains 171 Clan-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…

This repository contains 254 Pfam-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…

This repository contains 356 Pfam-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…

An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).

ESM Protein Localization Model Model description The ESM Protein Localization Model is a deep learning model trained on protein sequences to predict their…

An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).

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.

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.