2D-QSAR, Docking Studies, andIn SilicoADMET Prediction of Polyphenolic Acetates as Substrates for Protein Acetyltransferase Function of Glutamine Synthetase ofMycobacterium tuberculosis

Author:

Ponnan Prija12,Gupta Shikhar3,Chopra Madhu4,Tandon Rashmi12,Baghel Anil S.1,Gupta Garima1,Prasad Ashok K.2,Rastogi Ramesh C.2,Bose Mridula1,Raj Hanumantharao G.1

Affiliation:

1. Department of Biochemistry and Microbiology, V. P. Chest Institute, University of Delhi, Delhi 110 007, New Delhi, India

2. Department of Chemistry, University of Delhi, Delhi 110 007, New Delhi, India

3. Department for Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, S.A.S. Nagar, Mohali, Punjab 160062, India

4. Dr. B.R. Ambedakar Centre for Biomedical Research, University of Delhi, Delhi 110 007, India

Abstract

A novel transacetylase (TAase) function of glutamine synthetase (GS) in bacterial species such asMycobacterium smegmatisandMycobacterium tuberculosisH37Rv was established by us, termed as mycobacterial TAase (MTAase). Several polyphenolic acetates (PAs) were found to be substrates for MTAase by inhibiting certain receptor proteins such as glutathione S-transferase by way of acetylation. The present work describes the descriptor-based 2D-QSAR studies developed for a series of PA synthesized by us and evaluated for MTAase and antimycobacterial activity using stepwise multiple linear regression method with the kinetic constants and the minimum inhibitory constant (MIC) as the dependent variables, to address the fact that TAase activity was leading to the antimycobacterial activity. Further, blind docking methods using AutoDock were carried out to study the interaction of potent PA with the crystal structure ofM. tuberculosisGS. PAs were predicted to bindM. tuberculosisGS on the protein surface away from the known active site of GS. Subsequent focussed/refined docking of potent PA with GS showed that theε-amino group of Lys4 of GS formed a cation-πinteraction with the benzene ring of PA. Also, ADMET-related descriptors were calculated to predict the pharmacokinetic properties for the selection of the effective and bioavailable compounds.

Funder

Department of Biotechnology , Ministry of Science and Technology

Publisher

Hindawi Limited

Subject

General Medicine

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