TY - GEN
T1 - Analysis of Protein-Protein Interaction to Obtain Significant Protein in Influenza Virus Type A/H9N2
AU - Amiroch, Siti
AU - Al Faroby, Mohammad Hamim Zajuli
AU - Irawan, Mohammad Isa
AU - Mukhlash, Imam
AU - Nidhom, A. Chairul
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/8/2
Y1 - 2022/8/2
N2 - In bioinformatics, graphs are often used to describe cell processes, representing interactions between proteins in a protein-protein interaction network. Some proteins significantly influence these tissues and play an essential role in a regulation called significant proteins. Significant proteins are functional as data for drug discovery. Graph analysis is needed to reduce the graph and find these significant proteins. So far, there have been no studies discussing protein interactions in avian influenza type A/H9N2, a zoonotic subtype of avian influenza. Although this virus is classified as Low Pathogenic Avian Influenza, it is troubling the public because it reduces the production of chicken eggs by 80% and disrupts the reproductive organs of mammals. This study aimed to find a significant protein from avian influenza type A/H9N2. From the results of this study, we found ten network clusters with the ClusterONE algorithm. We perform graph analysis on the first cluster because it is the best cluster with the smallest p-value of 0.000023. The cluster contains 20 nodes representing 20 proteins. The analysis graph (Analysis centrality) that is simulated in MATLAB includes betweenness centrality, closeness centrality, degree centrality, eigenvector centrality, and page rank centrality. Of the 20 proteins, nine significant proteins were obtained, namely CD247, CD48, FCGR2A, FCGR2B, IL10, PTPN22, PTPRC, SLAMF1, and TRL5, the highest score on the FCGR2A protein. The highest score indicates that the FCGR2A protein has the most dominant effect on the protein-protein interaction network of Avian Influenza virus type A/H9N2.
AB - In bioinformatics, graphs are often used to describe cell processes, representing interactions between proteins in a protein-protein interaction network. Some proteins significantly influence these tissues and play an essential role in a regulation called significant proteins. Significant proteins are functional as data for drug discovery. Graph analysis is needed to reduce the graph and find these significant proteins. So far, there have been no studies discussing protein interactions in avian influenza type A/H9N2, a zoonotic subtype of avian influenza. Although this virus is classified as Low Pathogenic Avian Influenza, it is troubling the public because it reduces the production of chicken eggs by 80% and disrupts the reproductive organs of mammals. This study aimed to find a significant protein from avian influenza type A/H9N2. From the results of this study, we found ten network clusters with the ClusterONE algorithm. We perform graph analysis on the first cluster because it is the best cluster with the smallest p-value of 0.000023. The cluster contains 20 nodes representing 20 proteins. The analysis graph (Analysis centrality) that is simulated in MATLAB includes betweenness centrality, closeness centrality, degree centrality, eigenvector centrality, and page rank centrality. Of the 20 proteins, nine significant proteins were obtained, namely CD247, CD48, FCGR2A, FCGR2B, IL10, PTPN22, PTPRC, SLAMF1, and TRL5, the highest score on the FCGR2A protein. The highest score indicates that the FCGR2A protein has the most dominant effect on the protein-protein interaction network of Avian Influenza virus type A/H9N2.
KW - Avian Influenza Virus Type A/H9N2
KW - Centrality
KW - Cluster One
KW - PPI
UR - http://www.scopus.com/inward/record.url?scp=85136802951&partnerID=8YFLogxK
U2 - 10.1063/5.0083336
DO - 10.1063/5.0083336
M3 - Conference contribution
AN - SCOPUS:85136802951
T3 - AIP Conference Proceedings
BT - 8th Symposium on Biomathematics, Symomath 2021
A2 - Megawati, Noorma Yulia
A2 - Susyanto, Nanang
A2 - Ertiningsih, Dwi
A2 - Sari, Eminugroho Ratna
A2 - Saptaningtyas, Fitriana Yuli
A2 - Tantrawan, Made
A2 - Amalia, Oki Almas
A2 - Susiana, null
PB - American Institute of Physics Inc.
T2 - 8th Symposium on Biomathematics: Bridging Mathematics and Covid-19 Through Multidisciplinary Collaboration, Symomath 2021
Y2 - 16 July 2021 through 17 July 2021
ER -