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pySiRC

imported

therapeutics/pysirc

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

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

pySiRC project image
GitHub preview card for jeffrichardchemistry/pySiRC. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
www.pysirc.com.br
Repository
github.com/jeffrichardchemistry/pySiRC
Documentation
unknown
Tags
chemical-kinetics · chemical-reactions · cheminformatics · chemistry · machine-learning · molecular-fingerprints · python3 · qsar · quantum-chemistry · rdkit · streamlit
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.

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    A cheminformatics package to perform Applicability Domain of molecular fingerprints based in similarity calculation.

  • psikitcheminformatics · chemistry · quantum-chemistry · rdkit

    psi4+RDKit

  • ALKYLcheminformatics · chemistry · qsar · rdkit

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • AutoChemcheminformatics · chemistry · quantum-chemistry

    Virtual Chemical Reactor and scripts for automated quantum chemistry calculations

  • chemcanvaschemical-reactions · cheminformatics · chemistry

    User-friendly 2D chemical structure drawing tool

  • qmllibcheminformatics · chemistry · quantum-chemistry

    Quantum machine learning (QML) molecular representations and core functions

sources
  1. api.github.com/repos/jeffrichardchemistry/pySiRC
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-10-04, 14 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/37.json→ .entries["pysirc"]

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