Conserved protein targets for developing pan-coronavirus drugs based on sequence and 3D structure similarity analyses. (June 2022)
- Record Type:
- Journal Article
- Title:
- Conserved protein targets for developing pan-coronavirus drugs based on sequence and 3D structure similarity analyses. (June 2022)
- Main Title:
- Conserved protein targets for developing pan-coronavirus drugs based on sequence and 3D structure similarity analyses
- Authors:
- Ma, Minfei
Yang, Yanqing
Wu, Leyun
Zhou, Liping
Shi, Yulong
Han, Jiaxin
Xu, Zhijian
Zhu, Weiliang - Abstract:
- Abstract: There are 7 known human pathogenic coronaviruses, which are HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1, MERS-CoV, SARS-CoV and SARS-CoV-2. While SARS-CoV-2 is currently caused a severe epidemic, experts believe that new pathogenic coronavirus would emerge in the future. Therefore, developing broad-spectrum anti-coronavirus drugs is of great significance. In this study, we performed protein sequence and three-dimensional structure analyses for all the 20 virus-encoded proteins across all the 7 coronaviruses, with the purpose to identify highly conserved proteins and binding sites for developing pan-coronavirus drugs. We found that nsp5, nsp10, nsp12, nsp13, nsp14, and nsp16 are highly conserved both in protein sequences (with average identity percentage higher than 52%, average amino acid conservation scores higher than 5.2) and binding pockets (with average amino acid conservation scores higher than 5.8). We also performed the similarity comparison between these 6 proteins and all the human proteins, and found that all the 6 proteins have similarity less than 25%, indicating that the drugs targeting the 6 proteins should have little interference of human protein function. Accordingly, we suggest that nsp5, nsp10, nsp12, nsp13, nsp14, and nsp16 are potential targets for pan-coronavirus drug development. Graphical abstract: Image 1 Highlights: The nine proteins of coronavirus were found to be relatively conserved. Six of the nine conservative proteins have highlyAbstract: There are 7 known human pathogenic coronaviruses, which are HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1, MERS-CoV, SARS-CoV and SARS-CoV-2. While SARS-CoV-2 is currently caused a severe epidemic, experts believe that new pathogenic coronavirus would emerge in the future. Therefore, developing broad-spectrum anti-coronavirus drugs is of great significance. In this study, we performed protein sequence and three-dimensional structure analyses for all the 20 virus-encoded proteins across all the 7 coronaviruses, with the purpose to identify highly conserved proteins and binding sites for developing pan-coronavirus drugs. We found that nsp5, nsp10, nsp12, nsp13, nsp14, and nsp16 are highly conserved both in protein sequences (with average identity percentage higher than 52%, average amino acid conservation scores higher than 5.2) and binding pockets (with average amino acid conservation scores higher than 5.8). We also performed the similarity comparison between these 6 proteins and all the human proteins, and found that all the 6 proteins have similarity less than 25%, indicating that the drugs targeting the 6 proteins should have little interference of human protein function. Accordingly, we suggest that nsp5, nsp10, nsp12, nsp13, nsp14, and nsp16 are potential targets for pan-coronavirus drug development. Graphical abstract: Image 1 Highlights: The nine proteins of coronavirus were found to be relatively conserved. Six of the nine conservative proteins have highly conserved binding pockets. Drugs targeting 6 conserved proteins have little interference with human proteins. The 6 proteins are potential drug targets for pan-coronavirus drug development. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 145(2022)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 145(2022)
- Issue Display:
- Volume 145, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 145
- Issue:
- 2022
- Issue Sort Value:
- 2022-0145-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06
- Subjects:
- Pharmaceutical informatics -- Drug design -- Target discovery -- Medicinal chemistry -- Broad-spectrum drugs
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2022.105455 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
British Library DSC - BLDSS-3PM
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- 21547.xml