Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat-Reference-Cited by-同舟云学术

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Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat

Published:2021 Issue:3 Volume:12 Page:983-992
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Hempel Tim¹²³⁴¹^ORCID,Raich Lluís¹²³⁴,Olsson Simon¹²³⁴⁵^ORCID,Azouz Nurit P.⁶⁷⁸⁹¹⁰^ORCID,Klingler Andrea M.⁶⁷⁸⁹¹⁰,Hoffmann Markus¹¹¹²¹³⁴¹⁴^ORCID,Pöhlmann Stefan¹¹¹²¹³⁴¹⁴^ORCID,Rothenberg Marc E.⁶⁷⁸⁹¹⁰^ORCID,Noé Frank¹²³⁴¹^ORCID

Affiliation:

1. Freie Universität Berlin

2. Department of Mathematics and Computer Science

3. Berlin

4. Germany

5. Chalmers University of Technology

6. Division of Allergy and Immunology

7. Cincinnati Children's Hospital Medical Center

8. Department of Pediatrics

9. University of Cincinnati College of Medicine

10. Cincinnati

11. Infection Biology Unit

12. German Primate Center – Leibniz Institute for Primate Research

13. Göttingen

14. Faculty of Biology and Psychology

Abstract

The authors unravel the molecular action principle of nafamostat and camostat, two potential COVID-19 drugs targeting the human protein TMPRSS2.

Funder

Bundesministerium für Bildung und Forschung

European Commission

Deutsche Forschungsgemeinschaft

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/SC/D0SC05064D

Reference69 articles.

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2. The World Health Organization , Weekly Epidemiological Update, Coronavirus disease 2019 (COVID-19) , 12 October 2020

3. Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020

4. H. Streeck et al., Infection Fatality Rate of SARS-CoV-2 Infection in a German Community with a Super-Spreading Event , 2020 , medRxiv, 10.1101/2020.05.04.20090076

5. Estimates of the severity of coronavirus disease 2019: a model-based analysis

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