TY - JOUR
T1 - Identification of potential therapeutic targets for COVID-19 through a structural-based similarity approach between SARS-CoV-2 and its human host proteins
AU - Tasneem, Alvea
AU - Sultan, Armiya
AU - Singh, Prithvi
AU - Bairagya, Hridoy R.
AU - Almasoudi, Hassan Hussain
AU - Alhazmi, Abdulfattah Yahya M.
AU - Binshaya, Abdulkarim S.
AU - Hakami, Mohammed Ageeli
AU - Alotaibi, Bader S.
AU - Abdulaziz Eisa, Alaa
AU - Alolaiqy, Abdulaziz Saleh I.
AU - Hasan, Mohammad Raghibul
AU - Dev, Kapil
AU - Dohare, Ravins
N1 - Publisher Copyright:
Copyright © 2024 Tasneem, Sultan, Singh, Bairagya, Almasoudi, Alhazmi, Binshaya, Hakami, Alotaibi, Abdulaziz Eisa, Alolaiqy, Hasan, Dev and Dohare.
PY - 2024/2
Y1 - 2024/2
N2 - Background: The COVID-19 pandemic caused by SARS-CoV-2 has led to millions of deaths worldwide, and vaccination efficacy has been decreasing with each lineage, necessitating the need for alternative antiviral therapies. Predicting host–virus protein–protein interactions (HV-PPIs) is essential for identifying potential host-targeting drug targets against SARS-CoV-2 infection. Objective: This study aims to identify therapeutic target proteins in humans that could act as virus–host-targeting drug targets against SARS-CoV-2 and study their interaction against antiviral inhibitors. Methods: A structure-based similarity approach was used to predict human proteins similar to SARS-CoV-2 (“hCoV-2”), followed by identifying PPIs between hCoV-2 and its target human proteins. Overlapping genes were identified between the protein-coding genes of the target and COVID-19-infected patient’s mRNA expression data. Pathway and Gene Ontology (GO) term analyses, the construction of PPI networks, and the detection of hub gene modules were performed. Structure-based virtual screening with antiviral compounds was performed to identify potential hits against target gene-encoded protein. Results: This study predicted 19,051 unique target human proteins that interact with hCoV-2, and compared to the microarray dataset, 1,120 target and infected group differentially expressed genes (TIG-DEGs) were identified. The significant pathway and GO enrichment analyses revealed the involvement of these genes in several biological processes and molecular functions. PPI network analysis identified a significant hub gene with maximum neighboring partners. Virtual screening analysis identified three potential antiviral compounds against the target gene-encoded protein. Conclusion: This study provides potential targets for host-targeting drug development against SARS-CoV-2 infection, and further experimental validation of the target protein is required for pharmaceutical intervention.
AB - Background: The COVID-19 pandemic caused by SARS-CoV-2 has led to millions of deaths worldwide, and vaccination efficacy has been decreasing with each lineage, necessitating the need for alternative antiviral therapies. Predicting host–virus protein–protein interactions (HV-PPIs) is essential for identifying potential host-targeting drug targets against SARS-CoV-2 infection. Objective: This study aims to identify therapeutic target proteins in humans that could act as virus–host-targeting drug targets against SARS-CoV-2 and study their interaction against antiviral inhibitors. Methods: A structure-based similarity approach was used to predict human proteins similar to SARS-CoV-2 (“hCoV-2”), followed by identifying PPIs between hCoV-2 and its target human proteins. Overlapping genes were identified between the protein-coding genes of the target and COVID-19-infected patient’s mRNA expression data. Pathway and Gene Ontology (GO) term analyses, the construction of PPI networks, and the detection of hub gene modules were performed. Structure-based virtual screening with antiviral compounds was performed to identify potential hits against target gene-encoded protein. Results: This study predicted 19,051 unique target human proteins that interact with hCoV-2, and compared to the microarray dataset, 1,120 target and infected group differentially expressed genes (TIG-DEGs) were identified. The significant pathway and GO enrichment analyses revealed the involvement of these genes in several biological processes and molecular functions. PPI network analysis identified a significant hub gene with maximum neighboring partners. Virtual screening analysis identified three potential antiviral compounds against the target gene-encoded protein. Conclusion: This study provides potential targets for host-targeting drug development against SARS-CoV-2 infection, and further experimental validation of the target protein is required for pharmaceutical intervention.
KW - COVID-19
KW - PPI network
KW - SARS-CoV-2
KW - structural-based similarity
KW - virus–host target proteins
UR - http://www.scopus.com/inward/record.url?scp=85185137924&partnerID=8YFLogxK
U2 - 10.3389/fgene.2024.1292280
DO - 10.3389/fgene.2024.1292280
M3 - Article
AN - SCOPUS:85185137924
SN - 1664-8021
VL - 15
JO - Frontiers in Genetics
JF - Frontiers in Genetics
M1 - 1292280
ER -