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BindingAffinity

imported

therapeutics/bindingaffinity

Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.

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

BindingAffinity project image
GitHub preview card for kalleknast/BindingAffinity. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · drug-discovery · drug-target-interactions · graph-convolutional-networks · graph-neural-networks · network-embedding
Regulatory
unknown
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sources
  1. api.github.com/repos/kalleknast/BindingAffinity
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-12-26, 4 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 →

machine-readable

/v1/entries/2.json→ .entries["bindingaffinity"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.