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PIDGINv2

imported

therapeutics/pidginv2

PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)

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

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · chemoinformatics · molecule · pubchem · random-forest · target · target-prediction · target-predictions
Regulatory
unknown
built by · 3

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.

  • PIDGINv3cheminformatics · chemoinformatics · target-prediction

    Protein target prediction using random forests and reliability-density neighbourhood analysis

  • pubchempropscheminformatics · chemoinformatics · pubchem

    A convenient wrapper around PubChem PUG REST API that allows to search for many compound properties available at PubChem with ease

  • PubChemPycheminformatics · pubchem

    Python wrapper for the PubChem PUG REST API.

  • kgem-in-drug-discoverytarget-prediction

    Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)

  • AccFGcheminformatics · molecule

    [JCIM'25] AccFG: Functional Group Extraction and Molecular Structure Comparison

  • chemistry_drawercheminformatics · molecule

    Draw molecules with plotly!

sources
  1. api.github.com/repos/lhm30/PIDGINv2
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2019-07-19, 31 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/12.json→ .entries["pidginv2"]

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