Cargando…

ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spillover infection in December 2019 has caused an unprecedented pandemic. SARS-CoV-2, as other coronaviruses, binds its target cells through the angiotensin-converting enzyme 2 (ACE2) receptor. Accordingly, this makes ACE2 research es...

Descripción completa

Detalles Bibliográficos
Autores principales: Braun, Maya, Sharon, Elad, Unterman, Irene, Miller, Maya, Shtern, Anna Mellul, Benenson, Shmuel, Vainstein, Alexander, Tabach, Yuval
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368417/
https://www.ncbi.nlm.nih.gov/pubmed/32738617
http://dx.doi.org/10.1016/j.isci.2020.101384
_version_ 1783560601156452352
author Braun, Maya
Sharon, Elad
Unterman, Irene
Miller, Maya
Shtern, Anna Mellul
Benenson, Shmuel
Vainstein, Alexander
Tabach, Yuval
author_facet Braun, Maya
Sharon, Elad
Unterman, Irene
Miller, Maya
Shtern, Anna Mellul
Benenson, Shmuel
Vainstein, Alexander
Tabach, Yuval
author_sort Braun, Maya
collection PubMed
description The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spillover infection in December 2019 has caused an unprecedented pandemic. SARS-CoV-2, as other coronaviruses, binds its target cells through the angiotensin-converting enzyme 2 (ACE2) receptor. Accordingly, this makes ACE2 research essential for understanding the zoonotic nature of coronaviruses and identifying novel drugs. Here we present a systematic analysis of the ACE2 conservation and co-evolution protein network across 1,671 eukaryotes, revealing an unexpected conservation pattern in specific metazoans, plants, fungi, and protists. We identified the co-evolved protein network and pinpointed a list of drugs that target this network by using data integration from different sources. Our computational analysis found widely used drugs such as nonsteroidal anti-inflammatory drugs and vasodilators. These drugs are expected to perturb the ACE2 network affecting infectivity as well as the pathophysiology of the disease.
format Online
Article
Text
id pubmed-7368417
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73684172020-07-20 ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic Braun, Maya Sharon, Elad Unterman, Irene Miller, Maya Shtern, Anna Mellul Benenson, Shmuel Vainstein, Alexander Tabach, Yuval iScience Article The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spillover infection in December 2019 has caused an unprecedented pandemic. SARS-CoV-2, as other coronaviruses, binds its target cells through the angiotensin-converting enzyme 2 (ACE2) receptor. Accordingly, this makes ACE2 research essential for understanding the zoonotic nature of coronaviruses and identifying novel drugs. Here we present a systematic analysis of the ACE2 conservation and co-evolution protein network across 1,671 eukaryotes, revealing an unexpected conservation pattern in specific metazoans, plants, fungi, and protists. We identified the co-evolved protein network and pinpointed a list of drugs that target this network by using data integration from different sources. Our computational analysis found widely used drugs such as nonsteroidal anti-inflammatory drugs and vasodilators. These drugs are expected to perturb the ACE2 network affecting infectivity as well as the pathophysiology of the disease. Elsevier 2020-07-18 /pmc/articles/PMC7368417/ /pubmed/32738617 http://dx.doi.org/10.1016/j.isci.2020.101384 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Braun, Maya
Sharon, Elad
Unterman, Irene
Miller, Maya
Shtern, Anna Mellul
Benenson, Shmuel
Vainstein, Alexander
Tabach, Yuval
ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title_full ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title_fullStr ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title_full_unstemmed ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title_short ACE2 Co-evolutionary Pattern Suggests Targets for Pharmaceutical Intervention in the COVID-19 Pandemic
title_sort ace2 co-evolutionary pattern suggests targets for pharmaceutical intervention in the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368417/
https://www.ncbi.nlm.nih.gov/pubmed/32738617
http://dx.doi.org/10.1016/j.isci.2020.101384
work_keys_str_mv AT braunmaya ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT sharonelad ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT untermanirene ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT millermaya ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT shternannamellul ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT benensonshmuel ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT vainsteinalexander ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic
AT tabachyuval ace2coevolutionarypatternsuggeststargetsforpharmaceuticalinterventioninthecovid19pandemic