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FlowMol

imported

therapeutics/flowmol

Mixed continous/categorical flow-matching model for de novo molecule generation.

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

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
computational-biology · computational-chemistry · drug-design · drug-discovery · flow-matching · generative-model · graph-neural-networks · machine-learning
Regulatory
unknown
built by · 2

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

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    A geometric flow matching model for generative protein-ligand docking and affinity prediction. (ISMB 2025)

  • BBARdrug-discovery · generative-model · graph-neural-networks

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  • molgraphcomputational-biology · computational-chemistry · graph-neural-networks

    Graph neural networks for molecular machine learning: Implemented and compatible with TensorFlow and Keras.

  • TxGNNdrug-design · drug-discovery · graph-neural-networks

    TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

sources
  1. api.github.com/repos/Dunni3/FlowMol
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-26, 214 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/11.json→ .entries["flowmol"]

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