fpembed
importedtherapeutics/fpembed
FPembed - Generalized Molecular Fingerprint Embeddings
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Sciencealone/fpembed
- Documentation
- unknown
- Tags
- bioinformatics · chemical-data · chemical-tools · cheminformatics · chemistry · chemoinformatics · compression · computational-chemistry · embeddings · machine-learning · python
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- scikit-fingerprintsbioinformatics · chemical-data · cheminformatics · chemistry · chemoinformatics
Scikit-learn compatible library for molecular fingerprints and chemoinformatics
- NistChemPychemical-data · cheminformatics · chemistry
Unofficial Python tools for querying NIST Chemistry WebBook pages and extracting molecular-property records.
- openbabelchemical-data · cheminformatics · chemistry
Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
- ALKYLbioinformatics · cheminformatics · chemistry · computational-chemistry
Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning
- HMG.A1bioinformatics · cheminformatics · chemistry · computational-chemistry
Python tool for calculation of chemical parameters Based on DFT HOMO, LUMO input. It allows to identify different chemical properties. Provided a single page information as result.
- vitabioinformatics · cheminformatics · chemistry · computational-chemistry
Atomistic and molecular life sciences in Rust.
- api.github.com/repos/Sciencealone/fpembedretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-28, 5 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/44.json→ .entries["fpembed"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.