OpenPharmaco
importedtherapeutics/openpharmaco
Open-source protein-based pharmacophore modeling software
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/SeonghwanSeo/OpenPharmaco
- Documentation
- unknown
- Tags
- deep-learning · drug-discovery · machine-learning · pharmacophore-modelling · protein-based-pharmacophore-modelling · virtual-screening
- 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.
- PharmacoNetdrug-discovery · pharmacophore-modelling · virtual-screening
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
- CDPKitpharmacophore-modelling · virtual-screening
The Chemical Data Processing Toolkit
- ConcensusPharmacophorepharmacophore-modelling
Consensus pharmacophore for Drug Design
- ML-ensemble-dockingdrug-discovery · virtual-screening
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning
- PDB-CATdrug-discovery · virtual-screening
PDB-CAT aims to automatically categorize the mmCIF PDB structures based on the type of interaction between atoms in the protein and the ligand, and checking for any mutations in the sequence.
- rDockdrug-discovery · virtual-screening
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS)…
- api.github.com/repos/SeonghwanSeo/OpenPharmacoretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-02-15, 42 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/42.json→ .entries["openpharmaco"]
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