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Research Articles

Structural insights of metallo-beta-lactamase revealed an effective way of inhibition of enzyme by natural inhibitors

, , , , &
Pages 3757-3771 | Received 08 Feb 2019, Accepted 27 Aug 2019, Published online: 23 Sep 2019
 

Abstract

Metallo-beta-lactamase (MBL) is a class of enzyme that catalyzes the hydrolysis of a broad range of beta-lactam antibiotics leading to the development of drug resistance in bacteria. Inhibition of MBL is therefore pursued as a potential way to increase the susceptibility of bacteria to beta-lactam antibiotics. In this study, MBL inhibitors from natural sources such as Eupalitin, Rosmarinic acid and Luteolin are used as a potential alternative to explore their effect. The crystal structure of MBL revealed a hydrolyzed Meropenem, which was undocked from the active center pocket to get the apo-protein. The apo-protein was re-docked with substrate, three known MBL inhibitors and natural compounds to prepare the starting structure in the current work and to draw conclusions. Further, to explore the efficiency of natural inhibitors, we analyzed the dynamic behavior of the enzyme over simulation time using molecular dynamics studies. Our results suggest that MBL enzyme adopted altered conformational state in the presence of natural inhibitor. This is because, the natural inhibitors were tried to occupy a different binding pocket in the enzyme by causing positional drift from the active center pocket. Here, the different binding pocket partly comprised of active site pocket and partly by a new region explored by ligand, making it inappropriate for substrate to occupy the active site. Thus natural inhibitors may be potential entities to target MBL.

Abbreviations
ADME=

Absorption, Distribution, Metabolism and Excretion

BBB=

Blood brain barrier

CHARMM=

Chemistry at Harvard Macromolecular Mechanics

COM=

Center of Mass

CYP2D6=

Cytochrome P450 2D6

DS=

Discovery Studio

ESBL=

Extended Spectrum Beta-lactamases

FDA=

Food and Drug Administration

GLASS=

Global antimicrobial resistance surveillance system

GROMACS=

GROningen MAchine for Chemical Simulations

KDE=

Kernel Density Estimation Plots

MBL=

Metallo-beta-lactamase

MBL-C=

Metallo-beta-lactamase bound to L-Captopril

MBL-E=

Metallo-beta -lactamase bound to Eupalitin

MBL-I=

Metallo-beta -lactamase bound to Imipenem

MBL-L=

Metallo-beta -lactamase bound to Luteolin

MBL-R=

Metallo-beta -lactamase bound to Rosmarinic acid

MD=

Molecular Dynamics

MMPBSA=

Molecular Mechanics Poisson − Boltzmann surface area

NPT=

Number of atoms in the system, Pressure of the system and Temperature of the system

ns=

Nano seconds

NVT=

Number of atoms in the system, Volume of the system, and Temperature of the system

PDB=

Protein Data Bank

Rg=

Radius of Gyration

RMSD=

Root Mean Square Deviation

RMSF=

Root Mean Square Fluctuation

SASA=

Solvent Accessible Surface Area

SPC/E=

Simple Point Charge

WHO=

World Health Organization

Communicated by Ramaswamy H. Sarma

Acknowledgments

We thank the Management and Principal of M.S. Ramaiah Institute of Technology, Bengaluru, India and Siddaganga Institute of Technology, Tumakuru, India, for their encouragement and support. We, also thank Karnataka Biotechnology and Information Technology Services (KBITS), Bangalore for providing the grant to establish the computational facility under Biotech Policy-II, Biotechnology Finishing School and Biotechnology Skill Enhancement Programme (BiSEP) at the Department of Biotechnology, Siddaganga Institute of Technology, Tumakuru-572103, Karnataka. We thank Mr. Naveen Kumar N, Faculty, BiSEP Department of Biotechnology, Siddaganga Institute of Technology, Tumakuru for sharing the R-code to plot the graph and Dr. M. G. Gautham, Assistant Professor, Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru for his assistance in drawing the Figure with Solid Edge software.

Disclosure statement

The authors declare that they have no conflict of interest.

Additional information

Funding

Part of the computational work mentioned in this article was supported by the Inglewood Scholars Program to M.B and Program Project grant 2P01AG012411-17A1 (W.S.T. Griffin, P.I.) from the National Institute on Aging (NIA/NIH).

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