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Models (13)
Blueprints (3)
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DeepMind
alphafold2
Predicts the 3D structure of a protein from its amino acid sequence.
Model
nim
+4
196
11mo
DeepMind
alphafold2-multimer
Predicts the 3D structure of a protein from its amino acid sequence.
Model
nim
+4
150
11mo
MIT
Boltz-2
Predict complex structures using Boltz-2.
Model
nim
+4
133K
8mo
MIT
diffdock
Predicts the 3D structure of how a molecule interacts with a protein.
Model
Chemistry
+4
9.64K
7mo
Meta
esm2-650m
Generates embeddings of proteins from their amino acid sequences.
Model
nim
+4
189K
12mo
Meta
esmfold
Predicts the 3D structure of a protein from its amino acid sequence.
Model
biology
+4
698K
8mo
Arc
evo2-40b
Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences while retaining sensitivity to single-nucleotide changes.
Model
DNA Generation
+4
200K
9mo
NVIDIA
genmol
Fragment-Based Molecular Generation by Discrete Diffusion.
Model
Chemistry
+4
2.48K
7mo
NVIDIA
molmim
MolMIM performs controlled generation, finding molecules with the right properties.
Model
Chemistry
+4
16.18K
7mo
Colabfold
msa-search
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
Model
nim
+4
892
8mo
Openfold
openfold2
Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.
Model
nim
+4
961
9mo
IPD
proteinmpnn
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Model
biology
+4
12.24K
7mo
IPD
rfdiffusion
A generative model of protein backbones for protein binder design.
Model
biology
+4
11.92K
9mo
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