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Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors

BACKGROUND: Tuberculosis has become a major health problem being the second leading cause of death worldwide. Mycobacterium tuberculosis secretes a virulence factor, protein tyrosine phosphatase B (mPTPB) in the cytoplasm of host macrophage which suppresses its natural innate immune response and hel...

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Autores principales: Dhanjal, Jaspreet Kaur, Grover, Sonam, Sharma, Sudhanshu, Singh, Ajeet Kumar, Grover, Abhinav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046716/
https://www.ncbi.nlm.nih.gov/pubmed/24564493
http://dx.doi.org/10.1186/1471-2164-15-S1-S3
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author Dhanjal, Jaspreet Kaur
Grover, Sonam
Sharma, Sudhanshu
Singh, Ajeet Kumar
Grover, Abhinav
author_facet Dhanjal, Jaspreet Kaur
Grover, Sonam
Sharma, Sudhanshu
Singh, Ajeet Kumar
Grover, Abhinav
author_sort Dhanjal, Jaspreet Kaur
collection PubMed
description BACKGROUND: Tuberculosis has become a major health problem being the second leading cause of death worldwide. Mycobacterium tuberculosis secretes a virulence factor, protein tyrosine phosphatase B (mPTPB) in the cytoplasm of host macrophage which suppresses its natural innate immune response and helps the pathogen survive and proliferate in the phagosome. The present study aims at indentifying potent inhibitors of mPTPB by using computational approaches of ligand based molecular modeling and docking studies. RESULTS: A 3D QSAR model was developed using a set of benzofuran salicylic acid based mPTPB inhibitors with experimentally known IC(50) values. The model was generated using the statistical method of principle component regression analysis in combination with step wise forward variable selection algorithm. It was observed that steric and hydrophobic descriptors positively contribute towards the inhibitory activity of the ligands. The developed model had a robust internal as well as external predictive power as indicated by the q(2) value of 0.8920 and predicted r(2) value of 0.8006 respectively. Hence, the generated model was used to screen a large set of naturally occurring chemical compounds and predict their biological activity to identify more potent natural compounds targeting mPTPB. The two top potential hits (with pIC(50) value of 1.459 and 1.677 respectively) had a similar interaction pattern as that of the most potent compound (pIC(50) = 1.42) of the congeneric series. CONCLUSION: The contour plot provided a better understanding of the relationship between structural features of substituted benzofuran salicylic acid derivatives and their activities which would facilitate design of novel mPTPB inhibitors. The QSAR modeling was used to obtain an equation, correlating the important steric and hydrophobic descriptors with the pIC(50) value. Thus, we report two natural compounds of inhibitory nature active against mPTPB enzyme of Mycobacterium tuberculosis. These inhibitors have the potential to evolve as lead molecules in the development of drugs for the treatment of tuberculosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-S1-S3) contains supplementary material, which is available to authorized users.
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spelling pubmed-40467162014-06-06 Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors Dhanjal, Jaspreet Kaur Grover, Sonam Sharma, Sudhanshu Singh, Ajeet Kumar Grover, Abhinav BMC Genomics Proceedings BACKGROUND: Tuberculosis has become a major health problem being the second leading cause of death worldwide. Mycobacterium tuberculosis secretes a virulence factor, protein tyrosine phosphatase B (mPTPB) in the cytoplasm of host macrophage which suppresses its natural innate immune response and helps the pathogen survive and proliferate in the phagosome. The present study aims at indentifying potent inhibitors of mPTPB by using computational approaches of ligand based molecular modeling and docking studies. RESULTS: A 3D QSAR model was developed using a set of benzofuran salicylic acid based mPTPB inhibitors with experimentally known IC(50) values. The model was generated using the statistical method of principle component regression analysis in combination with step wise forward variable selection algorithm. It was observed that steric and hydrophobic descriptors positively contribute towards the inhibitory activity of the ligands. The developed model had a robust internal as well as external predictive power as indicated by the q(2) value of 0.8920 and predicted r(2) value of 0.8006 respectively. Hence, the generated model was used to screen a large set of naturally occurring chemical compounds and predict their biological activity to identify more potent natural compounds targeting mPTPB. The two top potential hits (with pIC(50) value of 1.459 and 1.677 respectively) had a similar interaction pattern as that of the most potent compound (pIC(50) = 1.42) of the congeneric series. CONCLUSION: The contour plot provided a better understanding of the relationship between structural features of substituted benzofuran salicylic acid derivatives and their activities which would facilitate design of novel mPTPB inhibitors. The QSAR modeling was used to obtain an equation, correlating the important steric and hydrophobic descriptors with the pIC(50) value. Thus, we report two natural compounds of inhibitory nature active against mPTPB enzyme of Mycobacterium tuberculosis. These inhibitors have the potential to evolve as lead molecules in the development of drugs for the treatment of tuberculosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-S1-S3) contains supplementary material, which is available to authorized users. BioMed Central 2014-01-24 /pmc/articles/PMC4046716/ /pubmed/24564493 http://dx.doi.org/10.1186/1471-2164-15-S1-S3 Text en © Dhanjal et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Dhanjal, Jaspreet Kaur
Grover, Sonam
Sharma, Sudhanshu
Singh, Ajeet Kumar
Grover, Abhinav
Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title_full Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title_fullStr Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title_full_unstemmed Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title_short Structural insights into mode of actions of novel natural Mycobacterium protein tyrosine phosphatase B inhibitors
title_sort structural insights into mode of actions of novel natural mycobacterium protein tyrosine phosphatase b inhibitors
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046716/
https://www.ncbi.nlm.nih.gov/pubmed/24564493
http://dx.doi.org/10.1186/1471-2164-15-S1-S3
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