TY - JOUR AU - Matos de Oliveira, Gabriela Correia AU - Paraná, Raymundo AU - Oliveira Andrade, Luís Jesuino de PY - 2019/11/04 Y2 - 2024/03/28 TI - IN SILICO MODELING OF THE MOLECULAR STRUCTURE OF microRNAs MARKERS FOR LIVER FIBROSIS IN HEPATITIS C JF - Revista de Patologia Tropical / Journal of Tropical Pathology JA - Rev Patol Trop VL - 48 IS - 3 SE - ARTIGOS ORIGINAIS / ORIGINAL ARTICLES DO - 10.5216/rpt.v48i3.58660 UR - https://revistas.ufg.br/iptsp/article/view/58660 SP - 135-147 AB - <p>Molecular biology looks for evidence that microRNA (miRNAs) plays a relevant function&nbsp;both in the beginning and advanced stages of hepatic fibrosis (HF), and has been proposed as&nbsp;an additional biomarker for HF forecasting in carriers of hepatitis C virus (HCV) infection.&nbsp;The purpose of this study was to develop an in silico modeling of the two-dimensional (2D)&nbsp;molecular structure of miRNA markers for HF in carriers of HCV. A search was initially&nbsp;performed for the nucleotide sequence of 6 miRNAs defined as biomarkers for HF, performing<br>a computational simulation of the molecular structure of the following miRNAs: miRNA-182,&nbsp;miRNA-183, miRNA-1260b, miRNA-122-3p, miRNA-378i, and miRNA-214-5p. The&nbsp;nucleotide sequences were chosen in the GenBank of the American National Institutes of&nbsp;Health genetic sequence database. The nucleotide sequence alignment was carried out with a&nbsp;text-based format (FASTA) tool. In the molecular modeling, the structures were built with the&nbsp;RNAstructure, a completely automated miRNAs structure modelling server, available through&nbsp;Web Servers for RNA Secondary Structure Prediction. This study presented the nucleotide&nbsp;sequence and the computational simulation of molecular structures for the following miRNA:&nbsp;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&nbsp;biology, is essential for designing more efficient optional tools for accurate treatment.&nbsp;</p><p><strong> KEY WORDS:</strong> micro-RNA; Hepatitis C; Hepatic Fibrosis; Computational Biology.</p> ER -