gnina
importedtherapeutics/gnina
A deep learning framework for molecular docking
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- gnina
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/gnina/gnina
- Documentation
- unknown
- Tags
- cheminformatics · computational-chemistry · convolutional-neural-networks · drug-discovery · molecular-modeling
- 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.
- ALKYLcheminformatics · computational-chemistry · drug-discovery · molecular-modeling
Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning
- sensaascheminformatics · computational-chemistry · molecular-modeling
Shape-based alignment of molecules using 3D point-based representation
- sensaas-bioisosterecheminformatics · computational-chemistry · molecular-modeling
Shape-based alignments for identifying bioisosteric replacements or scaffold-hopping using SENSAAS
- sensaas-pycheminformatics · computational-chemistry · molecular-modeling
Shape-based alignment of molecules using 3D point-based representation
- stkocheminformatics · computational-chemistry · molecular-modeling
A collection of molecular optimisers and property calculators for use with stk.
- aimscheminformatics · drug-discovery · molecular-modeling
AIMS: Artificial Intelligence for Molecular Sciences
- api.github.com/repos/gnina/gninaretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-29, 959 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/2.json→ .entries["gnina"]
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