Targeting2019-nCoV
importedtherapeutics/targeting2019-ncov
Information sharing portal about nCov/SARS/MERS for drug discovery
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
- GHDDI-AILab
- Country
- unknown
- Documentation
- unknown
- Tags
- drug-discovery · mers · ncov · sars
- 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.
Models of COVID-19 outbreak trajectories and hospital demand
- AI-Binddrug-discovery
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
- AI-Binddrug-discovery
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
- allegrodrug-discovery
Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials
- asapdiscoverydrug-discovery
Toolkit for open antiviral drug discovery by the ASAP Discovery Consortium
- BBARdrug-discovery
Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)
- api.github.com/repos/GHDDI-AILab/Targeting2019-nCoVretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-10-08, 38 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["targeting2019-ncov"]
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