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Structural analysis of experimental drugs binding to the SARS-CoV-2 target TMPRSS2.

Authors :
Huggins DJ
Source :
Journal of molecular graphics & modelling [J Mol Graph Model] 2020 Nov; Vol. 100, pp. 107710. Date of Electronic Publication: 2020 Aug 11.
Publication Year :
2020

Abstract

The emergence of SARS-CoV-2 has prompted a worldwide health emergency. There is an urgent need for therapeutics, both through the repurposing of approved drugs and the development of new treatments. In addition to the viral drug targets, a number of human drug targets have been suggested. In theory, targeting human proteins should provide an advantage over targeting viral proteins in terms of drug resistance, which is commonly a problem in treating RNA viruses. This paper focuses on the human protein TMPRSS2, which supports coronavirus life cycles by cleaving viral spike proteins. The three-dimensional structure of TMPRSS2 is not known and so we have generated models of the TMPRSS2 in the apo state as well as in complex with a peptide substrate and putative inhibitors to aid future work. Importantly, many related human proteases have 80% or higher identity with TMPRSS2 in the S1-S1' subsites, with plasminogen and urokinase-type plasminogen activator (uPA) having 95% identity. We highlight 376 approved, investigational or experimental drugs targeting S1A serine proteases that may also inhibit TMPRSS2. Whilst the presence of a relatively uncommon lysine residue in the S2/S3 subsites means that some serine protease inhibitors will not inhibit TMPRSS2, this residue is likely to provide a handle for selective targeting in a focused drug discovery project. We discuss how experimental drugs targeting related serine proteases might be repurposed as TMPRSS2 inhibitors to treat coronaviruses.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-4243
Volume :
100
Database :
MEDLINE
Journal :
Journal of molecular graphics & modelling
Publication Type :
Academic Journal
Accession number :
32829149
Full Text :
https://doi.org/10.1016/j.jmgm.2020.107710