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PubMed Central
Other literature type . 2022
Data sources: PubMed Central
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Computers in Biology and Medicine
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article
Data sources: DBLP
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Conserved protein targets for developing pan-coronavirus drugs based on sequence and 3D structure similarity analyses

Authors: Minfei Ma; Yanqing Yang; Leyun Wu; Liping Zhou; Yulong Shi; Jiaxin Han; Zhijian Xu; +1 Authors

Conserved protein targets for developing pan-coronavirus drugs based on sequence and 3D structure similarity analyses

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.

Related Organizations
Keywords

Coronavirus OC43, Human, Viral Proteins, Severe acute respiratory syndrome-related coronavirus, SARS-CoV-2, Humans, Amino Acids, Article, COVID-19 Drug Treatment

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green