JieZheng-ShanghaiTech/KG4SL
Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.
KG4SL helps cancer researchers and drug developers discover new anti-cancer drug targets by predicting 'synthetic lethal' gene pairs. It takes in existing knowledge about genes, diseases, and compounds, then identifies gene combinations that are lethal to cancer cells but not healthy cells. This tool is designed for scientists working on precision oncology and drug discovery.
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Use this if you are a cancer researcher looking to identify promising synthetic lethal gene pairs for developing targeted cancer therapies, leveraging a rich biomedical knowledge graph.
Not ideal if you need a tool for general drug target identification outside of synthetic lethality or if you lack access to comprehensive biomedical knowledge graph data.
Stars
33
Forks
14
Language
Python
License
MIT
Category
Last pushed
Aug 01, 2023
Commits (30d)
0
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