EquiBind
importedtherapeutics/equibind
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/HannesStark/EquiBind
- Documentation
- unknown
- Tags
- drug-discovery · equivariance · geometry · graph-neural-networks · molecules · protein-structure · proteins
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- equidock_publicdrug-discovery · equivariance · geometry
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
- pypdbprotein-structure · proteins
A Python API for the RCSB Protein Data Bank (PDB)
- biopandasdrug-discovery · molecules
Working with molecular structures in pandas DataFrames
- datamoldrug-discovery · molecules
Molecular Processing Made Easy.
- Deep-Drug-Coderdrug-discovery · molecules
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
- boltzdrug-discovery · protein-structure
Official repository for the Boltz biomolecular interaction models
- api.github.com/repos/HannesStark/EquiBindretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-02-19, 547 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/10.json→ .entries["equibind"]
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