CANDO
importedtherapeutics/cando
Computational Analysis of Novel Drug Opportunities
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- ram-compbio
- Country
- unknown
- Homepage
- compbio.org/protinfo/cando
- Repository
- github.com/ram-compbio/CANDO
- Documentation
- unknown
- Tags
- bioinformatics · biomedical-informatics · docking · drug-design · drug-discovery · drug-repurposing · machine-learning · multitarget
- 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.
- DrugClawbioinformatics · drug-design · drug-discovery · drug-repurposing
💊 AI Research Assistant for Accelerated Drug Discovery. 🦞
- ISCMFbioinformatics · drug-design · drug-discovery · drug-repurposing
ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
- LoCoMockbioinformatics · docking · drug-design · drug-discovery
LogP-corrected Membrane Docking for Ligand-Protein Complexes
- DrugTranslatoRbiomedical-informatics · drug-discovery · drug-repurposing
R package for translating between drug identifiers using the Chemical Translation Service (CTS)
- bitbirchdrug-design · drug-discovery · drug-repurposing
BitBIRCH clustering algorithm
- DockM8docking · drug-design · drug-discovery
All in one Structure-Based Virtual Screening workflow based on the concept of consensus docking.
- api.github.com/repos/ram-compbio/CANDOretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-23, 42 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/52.json→ .entries["cando"]
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