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DeepAffinity

imported

therapeutics/deepaffinity

Protein-compound affinity prediction through unified RNN-CNN

Machine-generated from the listed sources and not yet reviewed by a human.

DeepAffinity project image
GitHub preview card for Shen-Lab/DeepAffinity. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
attention-mechanism · drug-discovery · interpretable-deep-learning · protein · semi-supervised-learning
Regulatory
unknown
built by · 5

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • mt-dtidrug-discovery · protein

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  • Pocket2Drugdrug-discovery · protein

    Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.

  • Posedrug-discovery · protein

    A bare-metal Python library for building and manipulating the molecular structures of proteins, nucleic acids, and small organic molecules

  • LISAinterpretable-deep-learning

    Compact and interpretable MEG-to-audio retrieval with explicit spatial and temporal filters.

sources
  1. api.github.com/repos/Shen-Lab/DeepAffinity
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-07-19, 154 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["deepaffinity"]

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