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In silico modeling of the molecular structure of micrornas markers for liver fibrosis in hepatitis c
Oliveira, Gabriela Correia Matos de; Paraná, Raymundo; Andrade, Luís Jesuino de Oliveira.
Afiliação
  • Oliveira, Gabriela Correia Matos de; Universidade Federal da Bahia. Bahia. BR
  • Paraná, Raymundo; Universidade Federal da Bahia. Bahia. BR
  • Andrade, Luís Jesuino de Oliveira; Universidade Estadual de Santa Cruz. Bahia. BR
Rev. patol. trop ; 48(3): 135-147, 2019.
Article em En | LILACS | ID: biblio-1096642
Biblioteca responsável: BR15.1
ABSTRACT
Molecular biology looks for evidence that microRNA (miRNAs) plays a relevant function both in the beginning and advanced stages of hepatic fibrosis (HF), and has been proposed as an additional biomarker for HF forecasting in carriers of hepatitis C virus (HCV) infection. The purpose of this study was to develop an in silico modeling of the two-dimensional (2D) molecular structure of miRNA markers for HF in carriers of HCV. A search was initially performed for the nucleotide sequence of 6 miRNAs defined as biomarkers for HF, performing a computational simulation of the molecular structure of the following miRNAs miRNA-182, miRNA-183, miRNA-1260b, miRNA-122-3p, miRNA-378i, and miRNA-214-5p. The nucleotide sequences were chosen in the GenBank of the American National Institutes of Health genetic sequence database. The nucleotide sequence alignment was carried out with a text-based format (FASTA) tool. In the molecular modeling, the structures were built with the RNAstructure, a completely automated miRNAs structure modelling server, available through Web Servers for RNA Secondary Structure Prediction. This study presented the nucleotide sequence and the computational simulation of molecular structures for the following miRNA miRNA-182, miRNA-183, miRNA-1260b, miRNA-122-3p, miRNA-378i, and miRNA-214- 5p. The molecular structure of miRNAs markers for HF in HCV carriers, through computational biology, is essential for designing more efficient optional tools for accurate treatment.
Assuntos
Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Assunto principal: Hepatite C / Biologia Computacional / MicroRNAs / Cirrose Hepática Tipo de estudo: Prognostic_studies Idioma: En Revista: Rev. patol. trop Assunto da revista: MEDICINA TROPICAL / PATOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil
Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Assunto principal: Hepatite C / Biologia Computacional / MicroRNAs / Cirrose Hepática Tipo de estudo: Prognostic_studies Idioma: En Revista: Rev. patol. trop Assunto da revista: MEDICINA TROPICAL / PATOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil