Prediction of drug–target interaction by label propagation with mutual interaction information derived from heterogeneous network
Author:
Affiliation:
1. Key Laboratory of Information Fusion Technology of Ministry of Education
2. School of Automation
3. Northwestern Polytechnical University
4. Xi'an
5. China
Abstract
By implementing label propagation on drug/target similarity network with mutual interaction information derived from drug–target heterogeneous network, LPMIHN algorithm identifies potential drug–target interactions.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Molecular Biology,Biotechnology
Link
http://pubs.rsc.org/en/content/articlepdf/2016/MB/C5MB00615E
Reference69 articles.
1. Chemical space and biology
2. From genomics to chemical genomics: new developments in KEGG
3. Chemical genetics: ligand-based discovery of gene function
4. Database resources of the National Center for Biotechnology Information
5. ChEMBL: a large-scale bioactivity database for drug discovery
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