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RXNMapper_v2

imported

therapeutics/rxnmapper-v2

Updated fast, rule-free atom mapping for chemical reactions with a full pipeline to train, select, and evaluate your own RXNMapper/ALBERT model.

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

RXNMapper_v2 project image
GitHub preview card for yvsgrndjn/RXNMapper_v2. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
albert · atom-mapping · chemical-reactions · cheminformatics · rxnmapper · smiles · transformers
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.

  • atommap_evalatom-mapping · cheminformatics

    evaluate chemical equivalence of atom-mapped reactions against ground truth.

  • aizynthfinderchemical-reactions · cheminformatics

    A tool for retrosynthetic planning

  • chemcanvaschemical-reactions · cheminformatics

    User-friendly 2D chemical structure drawing tool

  • pySiRCchemical-reactions · cheminformatics

    Simple web application for prediction of reaction rate constant through machine learning models using molecular fingerprints.

  • Rxn-INSIGHTchemical-reactions · cheminformatics

    Deterministic classification, naming, and analysis of chemical reactions

  • StereoMolGraphchemical-reactions · cheminformatics

    Python Library for graph representation of molecules and reactions with a focus on Stereochemistry

sources
  1. api.github.com/repos/yvsgrndjn/RXNMapper_v2
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-20, 18 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/17.json→ .entries["rxnmapper-v2"]

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