ReLeaSE
importedtherapeutics/release
Deep Reinforcement Learning for de-novo Drug Design
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
- unknown
- Repository
- github.com/isayev/ReLeaSE
- Documentation
- unknown
- Tags
- cheminformatics · deeplearning · drug-discovery · molecular-modeling · qsar · reinforcement-learning
- 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.
- QSPRpredcheminformatics · drug-discovery · qsar
A tool for creating Quantitative Structure Property/Activity Relationship (QSPR/QSAR) models.
- DrugExcheminformatics · drug-discovery · reinforcement-learning
De Novo Drug Design with RNNs and Transformers
- gninacheminformatics · drug-discovery · molecular-modeling
A deep learning framework for molecular docking
- genui-guicheminformatics · qsar
GenUI frontend application. It provides a GUI to the GenUI REST API web services.
- pyADAcheminformatics · qsar
A cheminformatics package to perform Applicability Domain of molecular fingerprints based in similarity calculation.
- equidock_publicdeeplearning · drug-discovery
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
- api.github.com/repos/isayev/ReLeaSEretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-12-08, 372 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/62.json→ .entries["release"]
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