World Journal of Advanced Research and Reviews, 2020, 08(02), 043–055
World Journal of Advanced Research and Reviews
e-ISSN: 2581-9615, Cross Ref DOI: 10.30574/wjarr
Journal homepage: https://www.wjarr.com
Corresponding author: Shivkant Sharma
PG Research ScholarInstitute Of Pharmaceutical Sciences, Kurukshetra University,Kurukshetra, Haryana, 136119.
Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0.
(R ESEARCH A RTICLE )
In-silico molecular docking study of some n-substituted thiazoles derivatives as
FabH inhibitors
Shivkant Sharma
*
, Manish Devgun, Karan Wadhwa and Sahil Banwala
Institute of Pharmaceutical Sciences, Kurukshetra University, Kurukshetra, Haryana, 136119, India.
Publication history: Received on 19 October 2020; revised on 27 October 2020; accepted on 02 November 2020
Article DOI: https://doi.org/10.30574/wjarr.2020.8.2.0387
Abstract
Heterocyclic compounds with thiazole moiety are one of the most promising compounds in the medicinal chemistry
possessing numerous therapeutic activities. The present was designed to study the high throughput in silico screening
of 10 designed 2-phenyl-amino thiazole derivatives as a potent FABH inhibitor in Molegro virtual docker software
(Version 6.0) using 3iL9 as PDB. The docking results showed mol dock score of -90.94 with four hydrogen bonding for
the standard drugs griseofulvin, while on the other hand, N-substituted thiazole derivatives S2, S5, S6, S7, S8, and S9
exhibited excellent mol dock score, ranged from -102.612 to -144.236, hydrogen bonding (4-10), and docking score
ranged from -104.873 to -143.593. Similarly, another in silico study was done using online PASS software and the
compounds S1, S2, S5, S6, S7, S8, and S9 have Pa ranged between 0.310 to 0.411 and showed good antibacterial activity
whereas, compounds having Pa ranged between 0.216 to 0.334 demonstrated potent antifungal activity when compared
to standard drugs. Thus, the present study affirmed the significant antimicrobial potential of some designed N-
substituted thiazole derivatives based on their mol dock values and other parameters when studies in silico and the
obtained results will provide data support and offer perspectives in future researches to develop potent antimicrobial
agents from these N-substituted thiazole derivatives.
Keywords: Antimicrobial; Antifungal; Thiazole; Molecular Docking; FabH Inhibitors
1. Introduction
Thiazole, a five-member ring has molecular formula C3H3NS, indicating the presence of sulfur and nitrogen atoms, this
ring plays a very crucial and important role amongst heterocyclic compounds [1]. Thiazoles can be synthesized in the
laboratory by using the well-known Hantzsch process and also founds in natural sources likes vitamin B1 or marine
sources [2,3]. Thiazoles containing compounds have different biological activities like antibacterial [4], anticancer [5],
antimalarial [6], antifungal [7], anti-inflammatory [8], antiepileptic [9], anti-oxidants [10].
1.1. Docking studies
Molecular docking is defined as a technique for checking drug molecule bio-molecular interactions for the discovery of
new drugs as well as a new use of the standard drug. This technique also provides us with a mechanistic study point of
view and helps molecule (ligand) to bind with the specific receptor of the target at a specific region of the DNA/protein
(receptor) [11]. The docking technique gives information about free energy, the stability of complex along with the
binding energy of a definite compound. Molecular docking is very useful to forecast the outcome of the ligand-receptor
complex [12]. Molecular docking is used to evaluate the exact confirmation of the ligand-receptor complex with an
objective of least binding energy. The docking software forecasted the various parameters of binding free energy in
terms of the hydrogen bond, electrostatic, torsional free energy, dispersion, and repulsion, desolvation total internal
energy, and unbound system’s energy [13]. Discovery studio software helps in preparing ligand in PDB format, and by