TY - GEN
T1 - Drug-target network in myocardial infarction
T2 - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012
AU - Wang, Haiying
AU - Zheng, Huiru
AU - Azuaje, Francisco
AU - Zhao, Xing Ming
PY - 2012
Y1 - 2012
N2 - The identification of drug-target interactions is a crucial step in the drug-discovery process. It has been suggested that drug-target interactions are driven by drug-domain interactions. Based on the integration of two recently published datasets, i.e., Drug-target interactions in myocardial infarction (My-DTome) and drug-domain interaction network, this paper reports the association between drugs and protein domains in the context of myocardial infarction (MI). A MI drug-domain interaction network, My-DDome, was constructed. The functional similarity between domains based on their Gene Ontology (GO) annotations was estimated. The association between domains and therapeutic effects was investigated. Lists of GO annotations and Anatomical Therapeutic Chemical classification (ATC) codes highly enriched in My-DDome were identified. We show that drugs acting on blood and blood forming organs (ATC code B) and sensory organs (ATC code S) are significantly enriched in My-DDome (p < 0.000001). Top enriched GO terms include GO:0003824 (catalytic activity), GO:0008152 (metabolic process) and GO:0030170 (pyridoxal phosphate binding). By incorporating protein domain information into My-DTome, more detailed insights into the interplay between drugs, their known targets and seemingly unrelated proteins are provided.
AB - The identification of drug-target interactions is a crucial step in the drug-discovery process. It has been suggested that drug-target interactions are driven by drug-domain interactions. Based on the integration of two recently published datasets, i.e., Drug-target interactions in myocardial infarction (My-DTome) and drug-domain interaction network, this paper reports the association between drugs and protein domains in the context of myocardial infarction (MI). A MI drug-domain interaction network, My-DDome, was constructed. The functional similarity between domains based on their Gene Ontology (GO) annotations was estimated. The association between domains and therapeutic effects was investigated. Lists of GO annotations and Anatomical Therapeutic Chemical classification (ATC) codes highly enriched in My-DDome were identified. We show that drugs acting on blood and blood forming organs (ATC code B) and sensory organs (ATC code S) are significantly enriched in My-DDome (p < 0.000001). Top enriched GO terms include GO:0003824 (catalytic activity), GO:0008152 (metabolic process) and GO:0030170 (pyridoxal phosphate binding). By incorporating protein domain information into My-DTome, more detailed insights into the interplay between drugs, their known targets and seemingly unrelated proteins are provided.
KW - drug target
KW - myocardial infarction
KW - protein domain
KW - semantic similarity
UR - http://www.scopus.com/inward/record.url?scp=84872551790&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2012.6392702
DO - 10.1109/BIBM.2012.6392702
M3 - Conference contribution
AN - SCOPUS:84872551790
SN - 9781467325585
T3 - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
SP - 377
EP - 380
BT - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
Y2 - 4 October 2012 through 7 October 2012
ER -