Graphsite
importedtherapeutics/graphsite
Generate graph representations of protein binding sites.
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/shiwentao00/Graphsite
- Documentation
- unknown
- Tags
- binding-site · bioinformatics · cheminformatics · deep-learning · graph · graph-neural-network · pocket · protein
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Pocket2Drugbioinformatics · graph-neural-network · protein
Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.
- SiteFerretpocket
Clustering of SES virtual probes for pocket generation and ranking via Isolation Forest
- bio4jbioinformatics · graph · protein
Bio4j abstract model and general entry point to the project
- GNNs-For-Chemistscheminformatics · graph-neural-network
Implementations of different GNNs from scratch for chemists
- PiLSLbioinformatics · graph-neural-network
PiLSL is a pairwise interaction learning-based graph neural network (GNN) model for prediction of synthetic lethality (SL) as anti-cancer drug targets. It learns the representation of pairwise…
- MolecularGraph.jlcheminformatics · graph
Graph-based molecule modeling toolkit for cheminformatics
- api.github.com/repos/shiwentao00/Graphsiteretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-12-08, 10 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/44.json→ .entries["graphsite"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.