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Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design

Emergence of coronaviruses poses a threat to global health and economy. The current outbreak of SARS-CoV-2 has infected more than 28,000,000 people and killed more than 915,000. To date, there is no treatment for coronavirus infections, making the development of therapies to prevent future epidemics...

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Autores principales: Sorokina, Marija, M. C. Teixeira, João, Barrera-Vilarmau, Susana, Paschke, Reinhard, Papasotiriou, Ioannis, Rodrigues, João P. G. L. M., Kastritis, Panagiotis L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494880/
https://www.ncbi.nlm.nih.gov/pubmed/32938937
http://dx.doi.org/10.1038/s41597-020-00652-6
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author Sorokina, Marija
M. C. Teixeira, João
Barrera-Vilarmau, Susana
Paschke, Reinhard
Papasotiriou, Ioannis
Rodrigues, João P. G. L. M.
Kastritis, Panagiotis L.
author_facet Sorokina, Marija
M. C. Teixeira, João
Barrera-Vilarmau, Susana
Paschke, Reinhard
Papasotiriou, Ioannis
Rodrigues, João P. G. L. M.
Kastritis, Panagiotis L.
author_sort Sorokina, Marija
collection PubMed
description Emergence of coronaviruses poses a threat to global health and economy. The current outbreak of SARS-CoV-2 has infected more than 28,000,000 people and killed more than 915,000. To date, there is no treatment for coronavirus infections, making the development of therapies to prevent future epidemics of paramount importance. To this end, we collected information regarding naturally-occurring variants of the Angiotensin-converting enzyme 2 (ACE2), an epithelial receptor that both SARS-CoV and SARS-CoV-2 use to enter the host cells. We built 242 structural models of variants of human ACE2 bound to the receptor binding domain (RBD) of the SARS-CoV-2 surface spike glycoprotein (S protein) and refined their interfaces with HADDOCK. Our dataset includes 140 variants of human ACE2 representing missense mutations found in genome-wide studies, 39 mutants with reported effects on the recognition of the RBD, and 63 predictions after computational alanine scanning mutagenesis of ACE2-RBD interface residues. This dataset will help accelerate the design of therapeutics against SARS-CoV-2, as well as contribute to prevention of possible future coronaviruses outbreaks.
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spelling pubmed-74948802020-10-01 Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design Sorokina, Marija M. C. Teixeira, João Barrera-Vilarmau, Susana Paschke, Reinhard Papasotiriou, Ioannis Rodrigues, João P. G. L. M. Kastritis, Panagiotis L. Sci Data Data Descriptor Emergence of coronaviruses poses a threat to global health and economy. The current outbreak of SARS-CoV-2 has infected more than 28,000,000 people and killed more than 915,000. To date, there is no treatment for coronavirus infections, making the development of therapies to prevent future epidemics of paramount importance. To this end, we collected information regarding naturally-occurring variants of the Angiotensin-converting enzyme 2 (ACE2), an epithelial receptor that both SARS-CoV and SARS-CoV-2 use to enter the host cells. We built 242 structural models of variants of human ACE2 bound to the receptor binding domain (RBD) of the SARS-CoV-2 surface spike glycoprotein (S protein) and refined their interfaces with HADDOCK. Our dataset includes 140 variants of human ACE2 representing missense mutations found in genome-wide studies, 39 mutants with reported effects on the recognition of the RBD, and 63 predictions after computational alanine scanning mutagenesis of ACE2-RBD interface residues. This dataset will help accelerate the design of therapeutics against SARS-CoV-2, as well as contribute to prevention of possible future coronaviruses outbreaks. Nature Publishing Group UK 2020-09-16 /pmc/articles/PMC7494880/ /pubmed/32938937 http://dx.doi.org/10.1038/s41597-020-00652-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Sorokina, Marija
M. C. Teixeira, João
Barrera-Vilarmau, Susana
Paschke, Reinhard
Papasotiriou, Ioannis
Rodrigues, João P. G. L. M.
Kastritis, Panagiotis L.
Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title_full Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title_fullStr Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title_full_unstemmed Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title_short Structural models of human ACE2 variants with SARS-CoV-2 Spike protein for structure-based drug design
title_sort structural models of human ace2 variants with sars-cov-2 spike protein for structure-based drug design
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494880/
https://www.ncbi.nlm.nih.gov/pubmed/32938937
http://dx.doi.org/10.1038/s41597-020-00652-6
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