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chembl-downloader

imported

therapeutics/chembl-downloader

Write reproducible code for getting and processing ChEMBL

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
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · chembl · cheminformatics · chemogenomics · chemometrics · machine-learning · pharmacology · proteochemometrics
Regulatory
unknown
built by · 4

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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    Protwis is the backbone of the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).

  • moccacheminformatics · chemometrics

    Deprecated open-source Python project to analyze HPLC–DAD raw data.

  • PCMolcheminformatics · proteochemometrics

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

  • compound_target_pairs_datasetchembl · cheminformatics

    Automatic extraction of interacting compound-target pairs from ChEMBL.

  • lifesciences-researchbioinformatics · chembl

    AI Agent wrappers for Life Sciences APIs (Open Targets, ChEMBL, UniProt). Accelerating drug discovery with Model Context Protocol (MCP) and FastMCP.

  • hyper-dtiproteochemometrics

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

sources
  1. api.github.com/repos/cthoyt/chembl-downloader
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-09-14, 93 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/18.json→ .entries["chembl-downloader"]

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