asapdiscovery
importedtherapeutics/asapdiscovery
Toolkit for open antiviral drug discovery by the ASAP Discovery Consortium
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
- asapdiscovery
- Country
- unknown
- Homepage
- asapdiscovery.org
- Repository
- github.com/asapdiscovery/asapdiscovery
- Documentation
- unknown
- Tags
- computational-biology · computational-chemistry · drug-discovery · machine-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.
- biosimspacecomputational-biology · computational-chemistry · drug-discovery
An interoperable Python framework for biomolecular simulation.
- dock6computational-biology · computational-chemistry · drug-discovery
DOCK6 is a molecular docking program.
- FlowMolcomputational-biology · computational-chemistry · drug-discovery
Mixed continous/categorical flow-matching model for de novo molecule generation.
- OpenChemcomputational-biology · computational-chemistry · drug-discovery
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
- spyrmsdcomputational-biology · computational-chemistry · drug-discovery
📐 Symmetry-corrected RMSD in Python
- FlowDockcomputational-biology · computational-chemistry
A geometric flow matching model for generative protein-ligand docking and affinity prediction. (ISMB 2025)
- api.github.com/repos/asapdiscovery/asapdiscoveryretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 49 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/54.json→ .entries["asapdiscovery"]
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