biomolkit
importedtherapeutics/biomolkit
A streamlined Python cheminformatics toolkit for SMILES cleaning, descriptor calculation (ECFP, MACCS), and structural scaffolding for machine learning pipelines.
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/VoidEchoes42/biomolkit
- Documentation
- unknown
- Tags
- cheminformatics · drug-discovery · machine-learning · python · rdkit
- Regulatory
- unknown
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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Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning
- chematiccheminformatics · drug-discovery · rdkit
A pure-Rust cheminformatics library targeting RDKit feature parity — zero C/C++ by default.
- datamolcheminformatics · drug-discovery · rdkit
Molecular Processing Made Easy.
- drug-discovery-agent-skillscheminformatics · drug-discovery · rdkit
Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and target-discovery knowledge graphs.
- egfr-drug-discovery-cheminformatics · drug-discovery · rdkit
ML-powered drug discovery pipeline for EGFR cancer target — ChEMBL data, Morgan fingerprints, Random Forest (92.31% accuracy), AutoDock Vina molecular docking & 3D visualization
- hedgehogcheminformatics · drug-discovery · rdkit
Stage-based evaluation pipeline for generative molecular design: filters, retrosynthesis checks, docking, pose validation, reports, CLI/TUI.
- api.github.com/repos/VoidEchoes42/biomolkitretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-25, 3 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/41.json→ .entries["biomolkit"]
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