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PatentChem

imported

therapeutics/patentchem

Downloads USPTO patents and finds molecules related to keyword queries

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

PatentChem project image
GitHub preview card for learningmatter-mit/PatentChem. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
learningmatter-mit
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · chemistry · patent-data · patent-search · uspto
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.

  • PEMTpatent-search

    Source code and data files for "PEMT: A patent enrichment tool with applicability in drug discovery"

  • aidsorbcheminformatics · chemistry

    Python package for deep learning on porous materials and beyond.

  • ALKYLcheminformatics · chemistry

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • AMPLcheminformatics · chemistry

    The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

  • asciiMolcheminformatics · chemistry

    Curses based ASCII molecule viewer for terminals.

  • ASE_ANIcheminformatics · chemistry

    ANI-1 neural net potential with python interface (ASE)

sources
  1. api.github.com/repos/learningmatter-mit/PatentChem
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-12-08, 76 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/2.json→ .entries["patentchem"]

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