Predicting therapeutic drugs for hepatocellular carcinoma based on tissue specific A new approach for predicting therapeutic drugs for HCC based on tissue-specific pathways and identified three newly predicted drugs that are likely to be therapeutic drugs for the treatment of HCC.
Introduction
A novel approach was proposed to identify related drugs for the treatment of HCC, which considers the functional information of pathways, the changes of a single gene in pathways, and the special relationship between HCC and liver tissue. The up-regulated and down-regulated genes were searched in each cancer-associated pathway that was counter-regulated the most by each drug instance in the Connectivity Map (CMap) database. The degree of counter-regulation of those two kinds of gene was combined for each drug instance. The combined degrees were averaged over all cancer-associated pathway genes and instances of each drug, giving one therapeutic score for each drug. Drugs were ranked by the therapeutic scores, and top ranked drugs selected for further investigation.
Publications
Credits
- Liang Yu lyu@xidian.edu.cn InvestigatorDeveloperContributor
Computer Science and Technology, Xidian University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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Accession | BT007111 |
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Tool Type | Application |
Category | Drug repositioning |
Platforms | MAC OS X |
Technologies | C++ |
User Interface | Desktop GUI |
Input Data | FASTA |
Latest Release | 1.0 (May 26, 2021) |
Download Count | 0 |
Country/Region | China |
Submitted By | Liang Yu |
2018YFC0910400