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Blueprints (1)
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NVIDIA
Evo 2 Protein Design
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
Blueprint
NIM
+4
1mo
IPD
Downloadable
proteinmpnn
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Model
biology
+4
5.69K
8mo
IPD
Downloadable
rfdiffusion
A generative model of protein backbones for protein binder design.
Model
biology
+4
12.44K
10mo
DeepMind
Downloadable
alphafold2
Predicts the 3D structure of a protein from its amino acid sequence.
Model
nim
+4
373
1y
DeepMind
Downloadable
alphafold2-multimer
Predicts the 3D structure of a protein from its amino acid sequence.
Model
nim
+4
142
1y
Meta
Free Endpoint
esmfold
Predicts the 3D structure of a protein from its amino acid sequence.
Model
biology
+4
482K
9mo
Colabfold
Downloadable
msa-search
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
Model
nim
+4
1.2K
9mo
Openfold
Downloadable
openfold2
Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.
Model
nim
+4
570
10mo
Meta
Free Endpoint
esm2-650m
Generates embeddings of proteins from their amino acid sequences.
Model
nim
+4
68.15K
1y
MIT
Downloadable
Boltz-2
Predict complex structures using Boltz-2.
Model
nim
+4
83.31K
8mo
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