diffusion-hopping
importedtherapeutics/diffusion-hopping
DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping
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
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jostorge/diffusion-hopping
- Documentation
- unknown
- Tags
- bioinformatics · deep-learning · drug-design · drug-discovery · geometric-deep-learning · gnn · pytorch
- 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.
- TxGNNdrug-design · drug-discovery · geometric-deep-learning
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
- dgl-lifescibioinformatics · drug-discovery · geometric-deep-learning
Python package for graph neural networks in chemistry and biology
- grapheinbioinformatics · drug-discovery · geometric-deep-learning
Protein Graph Library
- CANDObioinformatics · drug-design · drug-discovery
Computational Analysis of Novel Drug Opportunities
- DrugClawbioinformatics · drug-design · drug-discovery
💊 AI Research Assistant for Accelerated Drug Discovery. 🦞
- protwisbioinformatics · drug-design · drug-discovery
Protwis is the backbone of the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).
- api.github.com/repos/jostorge/diffusion-hoppingretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-02, 37 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/46.json→ .entries["diffusion-hopping"]
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