02144nas a2200169 4500000000100000008004100001260003400042100002700076700002300103700002400126700002500150700002500175700002500200245008000225856007300305520159600378 2022 d bCold Spring Harbor Laboratory1 ade Oliveira Andrade LJ1 aBarreto de Jesus H1 aMatos de Oliveira L1 aFarias de Oliveira M1 aCaricchio Santana LF1 aMatos de Oliveira GC00aMolecular Characterization in 3D Structure of MicroRNA Expressed in Leprosy uhttps://www.biorxiv.org/content/10.1101/2022.02.11.480165v1.full.pdf3 a

ABSTRACTIntroductionHansen’s disease, or leprosy, is a major public health problem in developing countries, caused by Mycobacterium leprae, and affecting the skin and peripheral nerves. However, M. leprae can also affect bone tissue, mucous membranes, liver, eyes, and testicles, producing a variety of clinical phenotypes. MicroRNAs (miRNAs) have been expressed in the various clinical forms of leprosy and could potentially be used for its diagnosis.ObjectiveIn silico design of the molecular structure of miRNAs expressed in leprosy.MethodWe performed a nucleotide sequence search of 17 miRNAs expressed in leprosy, designing in silico the molecular structure of the following miRNAs: miRNA-26a, miRNA-27a, miRNA-27b, miRNA-29c, miRNA-34c, miRNA-92a-1, miRNA-99a-2, miRNA-101-1, miRNA-101-2, miRNA-125b-1, miRNA-196b, miRNA-425-5p, miRNA-452, miRNA-455, miRNA-502, miRNA-539, and miRNA-660. We extracted the nucleotides were from the GenBank of National Center for Biotechnology Information genetic sequence database. We aligned the extracted sequences with the RNA Folding Form, and the three-dimensional molecular structure design was performed with the RNAComposer.ResultsWe demonstrate the nucleotide sequences, and molecular structure projection of miRNAs expressed in leprosy, and produces a tutorial on the molecular model of the 17 miRNAs expressed in leprosy through in silico projection processing of their molecular structures.ConclusionWe demonstrate in silico design of selected molecular structures of 17 miRNAs expressed in leprosy through computational biology.