Projects
New Methods for Drug Repositioning via Multi-Scale Heterogeneous Networks
By integrating various bioinformatics data, this project builds a holographic navigation system to discover novel drug action pathways that are difficult to uncover with traditional methods, aiming to find new breakthroughs for disease treatment.
Screening Candidate Drugs for Breast Cancer via Drug Repurposing
Adopting a "drug repurposing" strategy, this project uses large-scale computational simulations to analyze interactions between breast cancer cells and thousands of known drugs, providing a more efficient and safer approach to combating breast cancer.
Drug Repositioning for Non-Small Cell Lung Cancer Based on Multi-Omics Integration
This project integrates multi-omics "intelligence fragments" to create a comprehensive "enemy landscape," allowing for more precise identification of cancer cell vulnerabilities and the discovery of "ready-made weapons" from existing drug libraries.
Drug Repositioning for Esophageal Cancer Based on Network Embedding
Developing an advanced "sonar system" to capture the abnormal "signals" of cancer cells. Through network embedding technology, information is compressed to automatically recommend existing drugs that can most effectively interfere with these signals.
Drug Repositioning for NSCLC via Multi-Scale Network Embedding
This project deeply integrates technologies from Projects 1 and 3 to build a "digital twin model" for non-small cell lung cancer, training the computer to act like a medical detective to accurately identify the most promising "old drugs."