» Articles » PMID: 27042006

Toward Antituberculosis Drugs: in Silico Screening of Synthetic Compounds Against Mycobacterium Tuberculosisl,d-transpeptidase 2

Overview
Specialty Pharmacology
Date 2016 Apr 5
PMID 27042006
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Mycobacterium tuberculosis (Mtb) the main causative agent of tuberculosis, is the main reason why this disease continues to be a global public health threat. It is therefore imperative to find a novel antitubercular drug target that is unique to the structural machinery or is essential to the growth and survival of the bacterium. One such target is the enzyme l,d-transpeptidase 2, also known as LdtMt2, a protein primarily responsible for the catalysis of 3→3 cross-linkages that make up the mycolyl-arabinogalactan-peptidoglycan complex of Mtb. In this study, structure-based pharmacophore screening, molecular docking, and in silico toxicity evaluations were employed in screening compounds from a database of synthetic compounds. Out of the 4.5 million database compounds, 18 structures were identified as high-scoring, high-binding hits with very satisfactory absorption, distribution, metabolism, excretion, and toxicity properties. Two out of the 18 compounds were further subjected to in vitro bioactivity assays, with one exhibiting a good inhibitory activity against the Mtb H37Ra strain.

Citing Articles

Exploring the Antibacterial Potential of Compounds Targeting the Hydrolase/Antibiotic Protein in : In Vitro and In Silico Investigations.

Alshammari F Pharmaceuticals (Basel). 2024; 17(6).

PMID: 38931335 PMC: 11207000. DOI: 10.3390/ph17060667.


Molecular Dynamic Simulations and Molecular Docking as a Potential Way for Designed New Inhibitor Drug without Resistance.

Aghajani J, Farnia P, Farnia P, Ghanavi J, Velayati A Tanaffos. 2022; 21(1):1-14.

PMID: 36258912 PMC: 9571241.


Design and virtual screening of novel fluoroquinolone analogs as effective mutant DNA GyrA inhibitors against urinary tract infection-causing fluoroquinolone resistant .

Balasubramaniyan S, Irfan N, Umamaheswari A, Puratchikody A RSC Adv. 2022; 8(42):23629-23647.

PMID: 35540291 PMC: 9081776. DOI: 10.1039/c8ra01854e.


Drug Discovery for Using Structure-Based Computer-Aided Drug Design Approach.

Ejalonibu M, Ogundare S, Elrashedy A, Ejalonibu M, Lawal M, Mhlongo N Int J Mol Sci. 2021; 22(24).

PMID: 34948055 PMC: 8703488. DOI: 10.3390/ijms222413259.


Structure-based approaches for drug discovery against .

Kingdon A, Alderwick L Comput Struct Biotechnol J. 2021; 19:3708-3719.

PMID: 34285773 PMC: 8258792. DOI: 10.1016/j.csbj.2021.06.034.


References
1.
Sharma S, Mohan A . Multidrug-resistant tuberculosis. Indian J Med Res. 2004; 120(4):354-76. View

2.
Erdemli S, Gupta R, Bishai W, Lamichhane G, Amzel L, Bianchet M . Targeting the cell wall of Mycobacterium tuberculosis: structure and mechanism of L,D-transpeptidase 2. Structure. 2012; 20(12):2103-15. PMC: 3573878. DOI: 10.1016/j.str.2012.09.016. View

3.
Lounnas V, Ritschel T, Kelder J, McGuire R, Bywater R, Foloppe N . Current progress in Structure-Based Rational Drug Design marks a new mindset in drug discovery. Comput Struct Biotechnol J. 2014; 5:e201302011. PMC: 3962124. DOI: 10.5936/csbj.201302011. View

4.
Dreetz M, Hamacher J, Eller J, Borner K, Koeppe P, Schaberg T . Serum bactericidal activities and comparative pharmacokinetics of meropenem and imipenem-cilastatin. Antimicrob Agents Chemother. 1996; 40(1):105-9. PMC: 163066. DOI: 10.1128/AAC.40.1.105. View

5.
van de Waterbeemd H, Gifford E . ADMET in silico modelling: towards prediction paradise?. Nat Rev Drug Discov. 2003; 2(3):192-204. DOI: 10.1038/nrd1032. View