pubchemprops
importedtherapeutics/pubchemprops
A convenient wrapper around PubChem PUG REST API that allows to search for many compound properties available at PubChem with ease
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- pypi.org/project/pubchemprops/
- Repository
- github.com/mawansui/pubchemprops
- Documentation
- unknown
- Tags
- cheminformatics · chemistry · chemoinformatics · pubchem · python · python3
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PIDGINv2cheminformatics · chemoinformatics · pubchem
PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)
- PubChemPycheminformatics · chemistry · pubchem
Python wrapper for the PubChem PUG REST API.
- LSTM_Chemcheminformatics · chemoinformatics · python3
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
- molecular-VAEcheminformatics · chemoinformatics · python3
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
- lindemanncheminformatics · chemistry · chemoinformatics
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
- psikitcheminformatics · chemistry · chemoinformatics
psi4+RDKit
- api.github.com/repos/mawansui/pubchempropsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2017-11-30, 28 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 →
/v1/entries/61.json→ .entries["pubchemprops"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.