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PCMol

imported

therapeutics/pcmol

Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.

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

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
CDDLeiden
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
alphafold · chemical-language-models · cheminformatics · de-novo-drug-design · drug-discovery · protein-language-models · proteochemometrics
Regulatory
unknown
built by · 1

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.

  • s4-for-de-novo-drug-designchemical-language-models · cheminformatics · de-novo-drug-design

    The official codebase of the paper "Chemical language modeling with structured state space sequence models"

  • DrugExcheminformatics · de-novo-drug-design · drug-discovery

    De Novo Drug Design with RNNs and Transformers

  • hyper-dtidrug-discovery · proteochemometrics

    HyperPCM: Robust task-conditioned modeling of drug-target interactions

  • chembl-downloadercheminformatics · proteochemometrics

    Write reproducible code for getting and processing ChEMBL

  • dock6de-novo-drug-design · drug-discovery

    DOCK6 is a molecular docking program.

  • metisde-novo-drug-design · drug-discovery

    Python-based GUI to collect Feedback of Chemist in Molecules

sources
  1. api.github.com/repos/CDDLeiden/PCMol
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-27, 77 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/32.json→ .entries["pcmol"]

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