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
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50 Layer Resnet to predict the regression values of Tetrahymena pyriformis IGC50 from 2d molecular images only
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JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.
- Academiadrug-discovery
Este repositorio debe ser el punto de partida y encuentro para cualquier investigador o estudiante que quiera comenzar a trabajar con/en la UIBCDF. Si has caído aquí por otro motivo y este material…
- AD-scRNA2QSARdrug-discovery
A comprehensive computational pipeline that bridges single-cell genomics and cheminformatics to accelerate Alzheimer's Disease research. This project integrates advanced bioinformatics and machine…
- 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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