| Literature DB >> 33651942 |
Sergio A Poveda-Cuevas1,2,3, Fernando Luís Barroso da Silva1,2,4,3, Catherine Etchebest5,6,7,3.
Abstract
Viruses can impact and affect human populations in a severe way. The appropriate differentiation among several species or strains of viruses is one of the biggest challenges for virology and infectiology studies. The detection of measurables-quantified discrepancies allows for more accurate clinical diagnoses and treatments for viral diseases. In the present study, we have used a computational approach to explore the dynamical properties of the nonstructural protein 1 from two strains of Zika virus. Our results show that despite a high sequence similarity, the two viral proteins from different origins can exhibit significant dissimilar structural dynamics, which complement their reported differential virulence. The present study opens up new ways in the understanding of the infectivity for these biological entities.Entities:
Year: 2021 PMID: 33651942 DOI: 10.1021/acs.jcim.0c01377
Source DB: PubMed Journal: J Chem Inf Model ISSN: 1549-9596 Impact factor: 4.956