Literature DB >> 21397998

Identification of novel potential antibiotics for tuberculosis by in silico structure-based drug screening.

Yuya Izumizono1, Shiho Arevalo, Yuji Koseki, Masato Kuroki, Shunsuke Aoki.   

Abstract

The enoyl-acyl carrier protein reductase of Mycobacterium tuberculosis (MTB) is a key enzyme of the type II fatty acid synthesis system. It is involved in the production of mycolic acid and is a known target for isoniazid, an effective antibiotic for tuberculosis treatment. The increasing prevalence of tuberculosis in many areas of the world, which is associated with the rise of drug-resistant MTB strains, presents a major global health threat. In this study, we attempted to identify novel antibiotics specifically targeting the MTB enoyl-acyl carrier protein reductase. We performed in silico structure-based drug screening using the crystal structure data for the MTB enoyl-acyl carrier protein reductase (PDB code; 2H7I) and a virtual compound library, which includes 152,102 chemicals. By a two-step screening method using DOCK (first screening) and GOLD (second screening), we identified 5 chemical compounds expected to have high binding affinity to the active center of the MTB enoyl-acyl carrier protein reductase. Moreover, we examined the antibiotic effects of these chemical compounds on model bacterial strains by in vitro experiments. We found that a chemical compound, which has a basic skeleton comprised of dibenzofuran, acetoamide, trizol, furyl and methylphenyl groups, completely inhibited the growth of Mycobacterium vanbaalenii and had no toxic effects on enterobacteria and cultured mammalian cells. Therefore, the chemical compound is likely to be useful in the research and development of new antibiotics for tuberculosis.
Copyright © 2011 Elsevier Masson SAS. All rights reserved.

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Year:  2011        PMID: 21397998     DOI: 10.1016/j.ejmech.2011.02.047

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  6 in total

1.  Identification of a novel class of small compounds with anti-tuberculosis activity by in silico structure-based drug screening.

Authors:  Junichi Taira; Koji Morita; Shotaro Kawashima; Tomohiro Umei; Hiroki Baba; Taira Maruoka; Hideyuki Komatsu; Hiroshi Sakamoto; James C Sacchettini; Shunsuke Aoki
Journal:  J Antibiot (Tokyo)       Date:  2017-09-27       Impact factor: 2.649

2.  A virtual screen discovers novel, fragment-sized inhibitors of Mycobacterium tuberculosis InhA.

Authors:  Alexander L Perryman; Weixuan Yu; Xin Wang; Sean Ekins; Stefano Forli; Shao-Gang Li; Joel S Freundlich; Peter J Tonge; Arthur J Olson
Journal:  J Chem Inf Model       Date:  2015-02-17       Impact factor: 4.956

3.  Molecular docking of azole drugs and their analogs on CYP121 of Mycobacterium tuberculosis.

Authors:  Jagadish Chandrabose Sundaramurthi; Swetha Kumar; Kannayan Silambuchelvi; Luke Elizabeth Hanna
Journal:  Bioinformation       Date:  2011-09-28

4.  Identification of novel potential antibiotics against Staphylococcus using structure-based drug screening targeting dihydrofolate reductase.

Authors:  Maiko Kobayashi; Tomohiro Kinjo; Yuji Koseki; Christina R Bourne; William W Barrow; Shunsuke Aoki
Journal:  J Chem Inf Model       Date:  2014-04-02       Impact factor: 4.956

Review 5.  Predictive Power of In Silico Approach to Evaluate Chemicals against M. tuberculosis: A Systematic Review.

Authors:  Giulia Oliveira Timo; Rodrigo Souza Silva Valle Dos Reis; Adriana Françozo de Melo; Thales Viana Labourdette Costa; Pérola de Oliveira Magalhães; Mauricio Homem-de-Mello
Journal:  Pharmaceuticals (Basel)       Date:  2019-09-16

Review 6.  Drug Resistance in Nontuberculous Mycobacteria: Mechanisms and Models.

Authors:  Saloni Saxena; Herman P Spaink; Gabriel Forn-Cuní
Journal:  Biology (Basel)       Date:  2021-01-29
  6 in total

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