[Network-based local and global consistency of cardiovascular genes].
Drug targets discovery is one of the most important elements in new drug development, and a variety of methods have been developed recently from this point of view. This paper proposed a network-based local and global consistency for cardiovascular genes identification. Results were evaluated through the widely used database HPRD and DrugBank. Results showed that our algorithm can give reasonable candidate targets set. The method in this paper could be an impressive solution for targets searching.
Institute of Automation Chinese Academy of Sciences, Beijing 100190, China.
Xiaohan
X
Zuo
Peng
P
Lu
Xi
X
Liu
Jianxin
J
Chen
Yibo
Y
Gao
Yiping
Y
Yang
Hongjun
H
Yang
D000465:Algorithms; D002318:Cardiovascular Diseases / Q000235:genetics / Q000378:metabolism* / Q000517:prevention & control; D030562:Databases, Protein; D016503:Drug Delivery Systems / Q000379:methods; D055808:Drug Discovery / Q000379:methods; D053263:Gene Regulatory Networks; D006801:Humans; D008962:Models, Theoretical; D004364:Pharmaceutical Preparations / Q000008:administration & dosage / Q000378:metabolism*; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000235:genetics / Q000378:metabolism*
D004364:Pharmaceutical Preparations; D011506:Proteins