Hindawi BioMed Research International Volume 2021, Article ID 6685840, 10 pages https://doi.org/10.1155/2021/6685840 Research Article In Silico Analysis of High-Risk Missense Variants in Human ACE2 Gene and Susceptibility to SARS-CoV-2 Infection Asmae Saih ,1,2 Hana Baba,1,2 Meryem Bouqdayr,1,2 Hassan Ghazal,3,4 Salsabil Hamdi,5 Anass Kettani,2 and Lahcen Wakrim1 1Virology Unit, Immunovirology Laboratory, Institut Pasteur du Maroc, 20360 Casablanca, Morocco 2Laboratory of Biology and Health, URAC 34, Faculty of Sciences Ben M’Sik Hassan II University of Casablanca, Morocco 3National Center for Scientific Technical Research (CNRST), Rabat 10102, Morocco 4Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco 5Environmental Health Laboratory, Institut Pasteur du Maroc, 20360 Casablanca, Morocco Correspondence should be addressed to Asmae Saih;
[email protected] Received 1 January 2021; Revised 8 March 2021; Accepted 18 March 2021; Published 9 April 2021 Academic Editor: R. K. Tripathy Copyright © 2021 Asmae Saih et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. SARS-CoV-2 coronavirus uses for entry to human host cells a SARS-CoV receptor of the angiotensin-converting enzyme (ACE2) that catalyzes the conversion of angiotensin II into angiotensin (1-7). To understand the effect of ACE2 missense variants on protein structure, stability, and function, various bioinformatics tools were used including SIFT, PANTHER, PROVEAN, PolyPhen2.0, I. Mutant Suite, MUpro, SWISS-MODEL, Project HOPE, ModPred, QMEAN, ConSurf, and STRING.