Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

An integrative in silico approach to the structure of Omp33-36 in Acinetobacter baumannii

(2018) An integrative in silico approach to the structure of Omp33-36 in Acinetobacter baumannii. Computational Biology and Chemistry. pp. 77-86. ISSN 1476-9271

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Abstract

Omp33-36 in A. baumannii, a bacterium causing serious nosocomial infections, is a virulence factor associated with the pathogen metabolic fitness as well as its adherence and invasion to human epithelial cells. This protein is also involved in interaction of the bacteria with host cells by binding to fibronectin. Moreover, Omp33-36 renders cytotoxicity to A. baumannii in addition to inducing apoptosis and modulation of autophagy. In the present study, an integrated strategy is launched to pierce into the 3D structure of Omp33-36 protein. The signal peptide within the sequence was determined, then, topology as well as secondary and tertiary structures of the protein were predicted. The mature protein assigned as a 14-stranded barrel in which residues 1-19 is removed as signal peptide. The obtained 3D models were evaluated in terms of quality; and then, served as queries to find similar protein structures. The hits were analyzed regarding topology among which 14-stranded were considered. The most qualified model was refined and then its sequence aligned to its counterpart similar structure protein (CymA from Klebsiella oxytoca). The determined structure of Omp33-36 could justify its porin function and carbapenemresistance associated with the loss of this protein. (C) 2018 Published by Elsevier Ltd.

Item Type: Article
Keywords: Omp34 Bioinformatic A. baumannii Structure prediction Topology Secondary structure protein-structure prediction outer-membrane protein basis function networks scoring matrices web server vaccine design resistance mechanism immunogen Life Sciences & Biomedicine - Other Topics Computer Science
Divisions:
Page Range: pp. 77-86
Journal or Publication Title: Computational Biology and Chemistry
Journal Index: ISI
Volume: 72
Identification Number: https://doi.org/10.1016/j.compbiolchem.2018.01.003
ISSN: 1476-9271
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/3910

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