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Models

Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices

Optimized by NVIDIA Launch from Hugging FaceBeta

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Drug Discovery

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Openfold

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biology

11 models

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OpenFold3 is a third-generation biomolecular foundation model that predicts the three-dimensional structures of molecular complexes (proteins, DNA, RNA, ligands)

2.88K

4mo

Predict complex structures using Boltz-2.

126K

7mo

Generates a multiple sequence alignment from a query sequence and a protein sequence database search.

1.09K

8mo

Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.

937

9mo

Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences while retaining sensitivity to single-nucleotide changes.

198K

9mo

alphafold2-multimer

Predicts the 3D structure of a protein from its amino acid sequence.

156

11mo

Generates embeddings of proteins from their amino acid sequences.

185K

11mo

Predicts the 3D structure of a protein from its amino acid sequence.

232

11mo

ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.

11.89K

7mo

A generative model of protein backbones for protein binder design.

11.64K

9mo

Predicts the 3D structure of a protein from its amino acid sequence.

698K

8mo

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