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FABind

imported

therapeutics/fabind

FABind: Fast and Accurate Protein-Ligand Binding (NeurIPS 2023)

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

FABind project image
GitHub preview card for QizhiPei/FABind. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
binding · bioinformatics · computational-biology · docking · machine-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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  • 11th place solution of NeurIPS 2024 - Predict New Medicines with BELKA competition on Kaggle: https://www.kaggle.com/competitions/leash-BELKA

  • mandosbinding

    Fetch pharmacological knowledge on chemical compounds and squeeze it into semantic triples. For analysis of chemical screens and training and evaluation of algorithms.

  • spyrmsdcomputational-biology · docking

    📐 Symmetry-corrected RMSD in Python

  • ALKYLbioinformatics · docking

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

sources
  1. api.github.com/repos/QizhiPei/FABind
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-16, 145 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/63.json→ .entries["fabind"]

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