Grammatical evolution-based design of SARS-CoV-2 main protease inhibitors-Reference-Cited by-同舟云学术

Grammatical evolution-based design of SARS-CoV-2 main protease inhibitors

Published:2022 Issue:8 Volume:24 Page:5233-5245
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Frausto-Parada Francisco¹,Várgas-Rodríguez Ismael¹,Mercado-Sánchez Itzel¹,Bazán-Jiménez Adán¹,Díaz-Cervantes Erik²^ORCID,Sotelo-Figueroa Marco A.³,García-Revilla Marco A.¹^ORCID

Affiliation:

1. Department of Chemistry, Natural and Exact Sciences Division, University of Guanajuato, Noria Alta S/N, Guanajuato-36050, Mexico

2. Departamento de Alimentos, Centro Interdisciplinario del Noreste de la Universidad de Guanajuato, Tierra Blanca, Guanajuato-37975, Mexico

3. 3Department of Organizational Studies, Economical and Administrative Sciences Division, University of Guanajuato, Guanajuato-36000, Mexico

Abstract

A series of SARS-CoV-2 main protease (SARS-CoV-2-Mpro) inhibitors were modeled using evolutive grammar algorithms.

Funder

Consejo Nacional de Ciencia y Tecnología

Universidad de Guanajuato

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CP/D1CP04159B

Reference51 articles.

1. Coronavirus: Update Related to the Current Outbreak of COVID-19

2. Candidate drugs against SARS-CoV-2 and COVID-19

3. A review on current status of COVID19 cases in Maharashtra state of India using GIS: a case study

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