Autor segons l'article: Garcia-Segura; P; Llop-Peiró; A; Novau-Ferré; N; Mestres-Truyol; J; Saldivar-Espinoza; B; Pujadas; G; Garcia-Vallvé; S
Departament: Bioquímica i Biotecnologia
Autor/s de la URV: Garcia Vallve, Santiago / LLOP PEIRÓ, ARIADNA / Novau Ferré, Nil / Pujadas Anguiano, Gerard / Saldivar Espinoza, Bryan Percy
Paraules clau: Zero hunger; Mutation coldspots; M-pro; Genomic profiling; Dimerization inhibition; Covid-19; 3cl-pro
Resum: SARS-CoV-2 and the COVID-19 pandemic have marked a milestone in the history of scientific research worldwide. To ensure that treatments are successful in the mid-long term, it is crucial to characterize SARS-CoV-2 mutations, as they might lead to viral resistance. Data from >5,700,000 SARS-CoV-2 genomes available at GISAID was used to report SARS-CoV-2 mutations. Given the pivotal role of its main protease (M-pro) in virus replication, a detailed analysis of SARS-CoV-2 M-pro mutations was conducted, with particular attention to mutation-resistant residues or mutation coldspots, defined as those residues that have mutated in five or fewer genomes. 32 mutation coldspots were identified, most of which mediate interprotomer interactions or funneling interaction networks from the substrate-binding site towards the dimerization surface and vice versa. Besides, mutation coldspots were virtually conserved in all main proteases from other CoVs. Our results provide valuable information about key residues to M-pro structure that could be useful in rational target-directed drug design and establish a solid groundwork based on mutation analyses for the inhibition of M-pro dimerization, with a potential applicability to future coronavirus outbreaks.
Àrees temàtiques: Saúde coletiva; Química; Psicología; Medicina veterinaria; Medicina iii; Medicina ii; Medicina i; Mathematical & computational biology; Interdisciplinar; Health informatics; Farmacia; Engineering, biomedical; Engenharias iv; Engenharias iii; Engenharias ii; Engenharias i; Educação física; Computer science, interdisciplinary applications; Computer science applications; Ciências biológicas ii; Ciências biológicas i; Ciências ambientais; Ciência da computação; Biotecnología; Biology, miscellaneous; Biology; Biodiversidade; Astronomia / física
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: nil.novau@urv.cat; ariadna.llop@urv.cat; bryanpercy.saldivar@estudiants.urv.cat; bryanpercy.saldivar@estudiants.urv.cat; santi.garcia-vallve@urv.cat; gerard.pujadas@urv.cat
Data d'alta del registre: 2026-03-02
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Computers In Biology And Medicine. 184 109344-109344
Referència de l'ítem segons les normes APA: Garcia-Segura; P; Llop-Peiró; A; Novau-Ferré; N; Mestres-Truyol; J; Saldivar-Espinoza; B; Pujadas; G; Garcia-Vallvé; S (2025). SARS-CoV-2 main protease (M-pro) mutational profiling: An insight into mutation coldspots. Computers In Biology And Medicine, 184(), 109344-109344. DOI: 10.1016/j.compbiomed.2024.109344
DOI de l'article: 10.1016/j.compbiomed.2024.109344
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2025-01-01
Tipus de publicació: Journal Publications