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mandos

imported

therapeutics/mandos

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

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

mandos project image
GitHub preview card for dmyersturnbull/mandos. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
activity · binding · chembl · cheminformatics · drug-target-interactions · filter
Regulatory
unknown
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.

  • compound_target_pairs_datasetchembl · cheminformatics · drug-target-interactions

    Automatic extraction of interacting compound-target pairs from ChEMBL.

  • chembl-downloaderchembl · cheminformatics

    Write reproducible code for getting and processing ChEMBL

  • chembl_webresource_clientchembl · cheminformatics

    Official Python client for accessing ChEMBL API

  • madurella-target-discoverychembl · cheminformatics

    A ChEMBL-driven target-discovery pipeline run on the neglected fungal pathogen Madurella mycetomatis — including the audit that caught the pipeline's own artifact (384 duplicate HDAC4 records ranked…

  • THEMAPchembl · cheminformatics

    Task Hardness Estimation for Molecular Activity Predcition (THEMAP)

  • FABindbinding

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

sources
  1. api.github.com/repos/dmyersturnbull/mandos
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-05-17, 6 stars, license reported as Apache-2.0. 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["mandos"]

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