DeepPurpose
importedtherapeutics/deeppurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/kexinhuang12345/DeepPurpose
- Documentation
- unknown
- Tags
- bioinformatics · covid19 · ddi · deep-learning · drug-discovery · drug-drug-interaction · drug-property-prediction · drug-repurposing
- 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.
- NDDdrug-discovery · drug-drug-interaction
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
- CANDObioinformatics · drug-discovery · drug-repurposing
Computational Analysis of Novel Drug Opportunities
- DeepDrugDomainbioinformatics · drug-discovery · drug-repurposing
DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing…
- DrugClawbioinformatics · drug-discovery · drug-repurposing
💊 AI Research Assistant for Accelerated Drug Discovery. 🦞
- Benchmarking-Single-Cell-Perturbationdrug-discovery · drug-repurposing
Single-Cell (Perturbation) Model Library
- bitbirchdrug-discovery · drug-repurposing
BitBIRCH clustering algorithm
- api.github.com/repos/kexinhuang12345/DeepPurposeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-10, 1173 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/3.json→ .entries["deeppurpose"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.