TY - JOUR
T1 - CHD@ZJU
T2 - A knowledgebase providing network-based research platform on coronary heart disease
AU - Wu, Leihong
AU - Li, Xiang
AU - Yang, Jihong
AU - Liu, Yufeng
AU - Fan, Xiaohui
AU - Cheng, Yiyu
PY - 2013
Y1 - 2013
N2 - Coronary heart disease (CHD), the leading cause of global morbidity and mortality in adults, has been reported to be associated with hundreds of genes. A comprehensive understanding of the CHD-related genes and their corresponding interactions is essential to advance the translational research on CHD. Accordingly, we construct this knowledgebase, CHD@ZJU, which records CHD-related information (genes, pathways, drugs and references) collected from different resources and through text-mining method followed by manual confirmation. In current release, CHD@ZJU contains 660 CHD-related genes, 45 common pathways and 1405 drugs accompanied with >8000 supporting references. Almost half of the genes collected in CHD@ZJU were novel to other publicly available CHD databases. Additionally, CHD@ZJU incorporated the protein-protein interactions to investigate the cross-talk within the pathways from a multi-layer network view. These functions offered by CHD@ZJU would allow researchers to dissect the molecular mechanism of CHD in a systematic manner and therefore facilitate the research on CHD-related multi-target therapeutic discovery.
AB - Coronary heart disease (CHD), the leading cause of global morbidity and mortality in adults, has been reported to be associated with hundreds of genes. A comprehensive understanding of the CHD-related genes and their corresponding interactions is essential to advance the translational research on CHD. Accordingly, we construct this knowledgebase, CHD@ZJU, which records CHD-related information (genes, pathways, drugs and references) collected from different resources and through text-mining method followed by manual confirmation. In current release, CHD@ZJU contains 660 CHD-related genes, 45 common pathways and 1405 drugs accompanied with >8000 supporting references. Almost half of the genes collected in CHD@ZJU were novel to other publicly available CHD databases. Additionally, CHD@ZJU incorporated the protein-protein interactions to investigate the cross-talk within the pathways from a multi-layer network view. These functions offered by CHD@ZJU would allow researchers to dissect the molecular mechanism of CHD in a systematic manner and therefore facilitate the research on CHD-related multi-target therapeutic discovery.
UR - http://www.scopus.com/inward/record.url?scp=84883252617&partnerID=8YFLogxK
U2 - 10.1093/database/bat047
DO - 10.1093/database/bat047
M3 - Article
C2 - 23818526
AN - SCOPUS:84883252617
SN - 1758-0463
VL - 2013
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
M1 - bat047
ER -