PharmacoNet
importedtherapeutics/pharmaconet
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
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
- doi.org/10.1039/D4SC04854G
- Repository
- github.com/SeonghwanSeo/PharmacoNet
- Documentation
- unknown
- Tags
- deep-learning · drug-discovery · instance-segmentation · machine-learning · pharmacophore · 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.
- OpenPharmacodrug-discovery · pharmacophore-modelling · virtual-screening
Open-source protein-based pharmacophore modeling software
- CDPKitpharmacophore-modelling · virtual-screening
The Chemical Data Processing Toolkit
- PhoreGendrug-discovery · pharmacophore
PhoreGen: Pharmacophore-Oriented 3D Molecular Generation towards Efficient Feature-Customized Drug Discovery https://www.nature.com/articles/s43588-025-00850-5
- pharmacophore-toolkitpharmacophore
Generate Simple Pharmacophore Models with RDKit
- ML-ensemble-dockingdrug-discovery · virtual-screening
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning
- 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/PharmacoNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-15, 102 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["pharmaconet"]
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