TY - GEN
T1 - Construction and analysis of protein-protein interaction to identify the molecular mechanism in hypertension
AU - Setiani, Lusi Agus
AU - Saputri, Fadlina Chany
AU - Yanuar, Arry
AU - Mun'Im, Abdul
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/4/26
Y1 - 2023/4/26
N2 - Hypertension is a global health problem with high number of incidence and associated to a high mortality rate. However, the molecular mechanism of hypertension has not been further understood. There have been a series of computational approaches proposed to predict related proteins based on network topologies. This study was aimed to find related proteins and biological regulatory pathways involved in hypertension and further to explore the molecule connectivity between these pathways by topological analysis of the Protein-protein interaction (PPI) network. Protein involved in hypertension were extracted from OMIM, DrugBank, and UniProt database. PPI network was then integrated and visualized using Cytoscape 3.8.2, DAVID database for the gene ontology (GO) functional analysis, KEGG pathway enrichment analysis mechanism and target of hypertension. The giant component of our constructed PPI network consisted of 1033 nodes with 4089 edges, including 35 proteins with large degree (k) betweenness centrality (BC) and is identified as a backbone network. MAPK3 with the largest k and sixth highest BC was suggested to be central to the PPI network associated with hypertension. The result of the GO analysis showed that the most influential biological process was the positive regulation of transcription from RNA polymerase II promoter, the regulation of vascular endothelium, and vascular vasodilation. KEGG result indicated that the MAPK signaling pathways, including TNF signaling pathway, Wnt signaling pathway, ERK5 pathway, JNK and p38 MAP kinase pathway is related molecular mechanism in hypertension.
AB - Hypertension is a global health problem with high number of incidence and associated to a high mortality rate. However, the molecular mechanism of hypertension has not been further understood. There have been a series of computational approaches proposed to predict related proteins based on network topologies. This study was aimed to find related proteins and biological regulatory pathways involved in hypertension and further to explore the molecule connectivity between these pathways by topological analysis of the Protein-protein interaction (PPI) network. Protein involved in hypertension were extracted from OMIM, DrugBank, and UniProt database. PPI network was then integrated and visualized using Cytoscape 3.8.2, DAVID database for the gene ontology (GO) functional analysis, KEGG pathway enrichment analysis mechanism and target of hypertension. The giant component of our constructed PPI network consisted of 1033 nodes with 4089 edges, including 35 proteins with large degree (k) betweenness centrality (BC) and is identified as a backbone network. MAPK3 with the largest k and sixth highest BC was suggested to be central to the PPI network associated with hypertension. The result of the GO analysis showed that the most influential biological process was the positive regulation of transcription from RNA polymerase II promoter, the regulation of vascular endothelium, and vascular vasodilation. KEGG result indicated that the MAPK signaling pathways, including TNF signaling pathway, Wnt signaling pathway, ERK5 pathway, JNK and p38 MAP kinase pathway is related molecular mechanism in hypertension.
UR - http://www.scopus.com/inward/record.url?scp=85159943055&partnerID=8YFLogxK
U2 - 10.1063/5.0118985
DO - 10.1063/5.0118985
M3 - Conference contribution
AN - SCOPUS:85159943055
T3 - AIP Conference Proceedings
BT - 2nd International Conference on Natural Sciences, Mathematics, Applications, Research, and Technology, ICON-SMART 2021
PB - American Institute of Physics Inc.
T2 - 2nd International Conference on Natural Sciences, Mathematics, Applications, Research, and Technology: Materials Science and Bioinformatics for Medical, Food, and Marine Industries, ICON-SMART 2021
Y2 - 21 October 2021 through 22 October 2021
ER -