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Research Articles

Structure-based virtual screening, molecular dynamics simulation and MM-PBSA toward identifying the inhibitors for two-component regulatory system protein NarL of Mycobacterium Tuberculosis

, , ORCID Icon &
Pages 3396-3410 | Received 19 Jun 2019, Accepted 12 Aug 2019, Published online: 26 Aug 2019
 

Abstract

The nitrate/nitrite response regulatory protein NarL belongs to the two-component regulatory system of Mycobacterium tuberculosis (MTB), plays a crucial role in anaerobic survival of mycobacteria in host. The absence of this protein in humans, makes it an attractive drug target for MTB treatment. However, the specific drug molecules targeting NarL are yet to be identified. In this study, we identified the promising drug candidates using structure based virtual screening of compounds from chemical libraries (ChEMBL and ZINC), followed by the extensive physicochemical properties analyses and molecular dynamics (MD) simulation. As the initial results, we obtained 4,754 bioactive compounds from ChEMBL having anti-tuberculosis activity which is finally narrowed down to the best 10 hits. A similar approach was applied to search for structurally similar compounds from ZINC data, corresponding to the top hits obtained from ChEMBL. Our collective results show that two compounds, ChEMBL509609 (Gscore – 5.054 kcal/mol, Xscore – 6.47 kcal/mol) and ZINC01843143 (Gscore – 5.114 kcal/mol, Xscore – 6.46 kcal/mol) having the best docking score and ADMET profile. The structural stability and dynamics of lead molecules at active site of NarL were examined using MD simulation and the binding free energies were estimated with MM-PBSA. Essential dynamics and MM-PBSA demonstrated that NarL-ChEMBL509609 complex remains the most stable during simulation of 100 ns with the higher binding free energy which may be a suitable candidate for further experimental analysis.

Abbreviations
ADME=

Absorption, Distribution, Metabolism, And Excretion

BCG=

Bacillus Calmette-Guerin

CNS=

Central nervous system

DOTS=

Directly observed treatment, short course

ED=

Essential dynamics

HIV=

Human immunodeficiency virus

HK=

Histidine kinase

HOA=

Human oral absorption

HTVS=

High throughput virtual screening

IRRI=

Irritation

MD=

Molecular dynamics

MDR=

Multidrug resistant

MTB=

Mycobacterium tuberculosis

MUT=

Mutagenicity

MW=

Molecular weight

PHOA=

Percentage of human oral absorption

REP=

Reproductive development

Rg=

Radius of gyration

RMSD=

Root mean square deviation

RMSF=

Root mean square fluctuation

RO5=

Lipinski’s rule of five

RR=

Response regulator

SP=

Standard precision

SPG=

Standard precision glide

TB=

Tuberculosis

TCS=

Two-component regulatory system

TDR=

Totally drug-resistant

TUMO=

Tumorigenicity

WHO=

World health organization

XDR=

Extensively drug-resistant

XP=

Extra precision

Communicated by Ramaswamy H. Sarma

Acknowledgements

NK and RK are thankful to UGC and CSIR, respectively, for their fellowships.

Disclosure statement

No potential conflict of interest was reported by the author(s)

Additional information

Funding

Authors gratefully acknowledge the computational facility funded by Science and Engineering Research Board (SERB), Government of India (Ref. No.: YSS/2015/000228/LS).

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