openmedical/registry
← registry

AutoChem

imported

therapeutics/autochem

Virtual Chemical Reactor and scripts for automated quantum chemistry calculations

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

AutoChem project image
GitHub preview card for Daniele-Dondi/AutoChem. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · chemistry · chemistry-development-kit · dft-calculations · orca-quantum-chemistry · quantum-chemistry
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.

  • cdkbookcheminformatics · chemistry · chemistry-development-kit

    Groovy Cheminformatics with the Chemistry Development Kit

  • cheminformatics-microservicecheminformatics · chemistry · chemistry-development-kit

    This set of essential and valuable microservices is designed to be accessed via API calls to support cheminformatics.

  • pyCheckmolcheminformatics · chemistry · chemistry-development-kit

    Application for detecting functional groups of a molecules.

  • SpectraFPcheminformatics · chemistry · chemistry-development-kit

    A package to perform fingerprints from spectroscopy datas.

  • psikitcheminformatics · chemistry · quantum-chemistry

    psi4+RDKit

  • pySiRCcheminformatics · chemistry · quantum-chemistry

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

sources
  1. api.github.com/repos/Daniele-Dondi/AutoChem
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-12-21, 11 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/55.json→ .entries["autochem"]

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