Literature DB >> 25965448

Identification of Novel Inhibitors of Mycobacterium tuberculosis PknG Using Pharmacophore Based Virtual Screening, Docking, Molecular Dynamics Simulation, and Their Biological Evaluation.

Nidhi Singh, Sameer Tiwari, Kishore K Srivastava1, Mohammad Imran Siddiqi1.   

Abstract

PknG is a Ser/thr protein kinase that plays a crucial role in regulatory processes within the mycobacterial cell and signaling cascade of the infected host cell. The essentiality of PknG in mycobacterial virulence by blocking phagosome-lysosome fusion as well as its role in intrinsic antibiotic resistance makes it an attractive drug target. However, only very few compounds have been reported as Mycobacterium tuberculosis PknG (MtPknG) inhibitors so far. Therefore, in an effort to find potential inhibitors against MtPknG, we report here a sequential pharmacophore-based virtual screening workflow, 3-fold docking with different search algorithms, and molecular dynamic simulations for better insight into the predicted binding mode of identified hits. After detailed analysis of the results, six ligands were selected for in vitro analysis. Three of these molecules showed significant inhibitory activity against MtPknG. In addition, inhibitory studies of mycobacterial growth in infected THP-1 macrophages demonstrated considerable growth inhibition of M. bovis BCG induced through compound NRB04248 without any cytotoxic effect against host macrophages. Our results suggest that the compound NRB04248 can be explored for further design and optimization of MtPknG inhibitors.

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Year:  2015        PMID: 25965448     DOI: 10.1021/acs.jcim.5b00150

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  12 in total

1.  NU-6027 Inhibits Growth of Mycobacterium tuberculosis by Targeting Protein Kinase D and Protein Kinase G.

Authors:  Sohini Chakraborti; Neha Khare; Sumana Das; Saqib Kidwai; Rania Bouzeyen; Tannu Priya Gosain; Assirbad Behura; Chhuttan Lal Meena; Rohan Dhiman; Makram Essafi; Avinash Bajaj; Deepak Kumar Saini; Narayanaswamy Srinivasan; Dinesh Mahajan; Ramandeep Singh
Journal:  Antimicrob Agents Chemother       Date:  2019-08-23       Impact factor: 5.191

2.  Deletion of pknG Abates Reactivation of Latent Mycobacterium tuberculosis in Mice.

Authors:  Mehak Zahoor Khan; Vinay Kumar Nandicoori
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

3.  Identifying RO9021 as a Potential Inhibitor of PknG from Mycobacterium tuberculosis: Combinative Computational and In Vitro Studies.

Authors:  Alicia Arica-Sosa; Roberto Alcántara; Gabriel Jiménez-Avalos; Mirko Zimic; Pohl Milón; Miguel Quiliano
Journal:  ACS Omega       Date:  2022-05-31

4.  In Silico Exploration for Novel Type-I Inhibitors of Tie-2/TEK: The Performance of Different Selection Strategy in Selecting Virtual Screening Candidates.

Authors:  Peichen Pan; Huiyong Sun; Hui Liu; Dan Li; Wenfang Zhou; Xiaotian Kong; Youyong Li; Huidong Yu; Tingjun Hou
Journal:  Sci Rep       Date:  2016-11-23       Impact factor: 4.379

5.  Rational design of drug-like compounds targeting Mycobacterium marinum MelF protein.

Authors:  Renu Dharra; Sakshi Talwar; Yogesh Singh; Rani Gupta; Jeffrey D Cirillo; Amit K Pandey; Mahesh Kulharia; Promod K Mehta
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

6.  Evaluation of in silico designed inhibitors targeting MelF (Rv1936) against Mycobacterium marinum within macrophages.

Authors:  Renu Dharra; V S Radhakrishnan; Tulika Prasad; Zoozeal Thakur; Jeffrey D Cirillo; Abhishek Sheoran; Amit K Pandey; Mahesh Kulharia; Promod K Mehta
Journal:  Sci Rep       Date:  2019-07-12       Impact factor: 4.379

7.  Identification of Novel Mycobacterial Inhibitors Against Mycobacterial Protein Kinase G.

Authors:  Yuichi Kanehiro; Haruaki Tomioka; Jean Pieters; Yutaka Tatano; Hyoji Kim; Hisashi Iizasa; Hironori Yoshiyama
Journal:  Front Microbiol       Date:  2018-07-12       Impact factor: 5.640

Review 8.  Predictive Power of In Silico Approach to Evaluate Chemicals against M. tuberculosis: A Systematic Review.

Authors:  Giulia Oliveira Timo; Rodrigo Souza Silva Valle Dos Reis; Adriana Françozo de Melo; Thales Viana Labourdette Costa; Pérola de Oliveira Magalhães; Mauricio Homem-de-Mello
Journal:  Pharmaceuticals (Basel)       Date:  2019-09-16

Review 9.  Evolution of In Silico Strategies for Protein-Protein Interaction Drug Discovery.

Authors:  Stephani Joy Y Macalino; Shaherin Basith; Nina Abigail B Clavio; Hyerim Chang; Soosung Kang; Sun Choi
Journal:  Molecules       Date:  2018-08-06       Impact factor: 4.411

Review 10.  Pharmacophore Models and Pharmacophore-Based Virtual Screening: Concepts and Applications Exemplified on Hydroxysteroid Dehydrogenases.

Authors:  Teresa Kaserer; Katharina R Beck; Muhammad Akram; Alex Odermatt; Daniela Schuster
Journal:  Molecules       Date:  2015-12-19       Impact factor: 4.411

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