药物数据库
药物重新定位
毒理基因组学
计算生物学
小桶
ISG15
生物信息学
基因
重新调整用途
生物
转录组
药品
药物发现
鉴定(生物学)
交互网络
系统药理学
生物信息学
遗传学
药理学
基因表达
生态学
植物
泛素
作者
Haseeb Nisar,Bilal Wajid,Faria Anwar,Ashfaq Ahmad,Anum Javaid,Syed Awais Attique,Wardah Nisar,Amir Saeed,Samiah Shahid,Saima Sadaf
标识
DOI:10.1080/07391102.2023.2242500
摘要
AbstractThe global health pandemic known as COVID-19, which stems from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a significant concern worldwide. Several treatment methods exist for COVID-19; however, there is an urgent demand for previously established drugs and vaccines to effectively combat the disease. Since, discovering new drugs poses a significant challenge, making the repurposing of existing drugs can potentially reduce time and costs compared to developing entirely new drugs from scratch. The objective of this study is to identify hub genes and associated repurposed drugs targeting them. We analyzed differentially expressed genes (DEGs) by analyzing RNA-seq transcriptomic datasets and integrated with genes associated with COVID-19 present in different databases. We detected 173 Covid-19 associated genes for the construction of a protein-protein interaction (PPI) network which resulted in the identification of the top 10 hub genes/proteins (STAT1, IRF7, MX1, IRF9, ISG15, OAS3, OAS2, OAS1, IRF3, and IRF1). Hub genes were subjected to GO functional and KEGG pathway enrichment analyses, which indicated some key roles and signaling pathways that were strongly related to SARS-CoV-2 infections. We conducted drug repurposing analysis using CMap, TTD, and DrugBank databases with these 10 hub genes, leading to the identification of Piceatannol, CKD-712, and PMID26394986-Compound-10 as top-ranked candidate drugs. Finally, drug–gene interactions analysis through molecular docking and validated via molecular dynamic simulation for 80 ns suggests PMID26394986-Compound-10 as the only potential drug. Our research demonstrates how in silico analysis might produce repurposing candidates to help respond faster to new disease outbreaks.Communicated by Ramaswamy H. SarmaKeywords: COVID-19bioinformaticsrepurposingmolecular dockingMD simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe authors would like to thank Sabz-Qalam (SQ-2020-Disease-1) for partly supporting this work.
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