Cargando…

Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation

Millions of deaths caused by Mycobacterium tuberculosis (Mtb) are reported worldwide every year. Treatment of tuberculosis (TB) involves the use of multiple antibiotics over a prolonged period. However, the emergence of resistance leading to multidrug-resistant TB (MDR-TB) and extensively drug-resis...

Descripción completa

Detalles Bibliográficos
Autores principales: Chakraborti, Sohini, Chakraborty, Moubani, Bose, Avipsa, Srinivasan, Narayanaswamy, Visweswariah, Sandhya S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126637/
https://www.ncbi.nlm.nih.gov/pubmed/34012976
http://dx.doi.org/10.3389/fmolb.2021.599221
_version_ 1783693802050945024
author Chakraborti, Sohini
Chakraborty, Moubani
Bose, Avipsa
Srinivasan, Narayanaswamy
Visweswariah, Sandhya S.
author_facet Chakraborti, Sohini
Chakraborty, Moubani
Bose, Avipsa
Srinivasan, Narayanaswamy
Visweswariah, Sandhya S.
author_sort Chakraborti, Sohini
collection PubMed
description Millions of deaths caused by Mycobacterium tuberculosis (Mtb) are reported worldwide every year. Treatment of tuberculosis (TB) involves the use of multiple antibiotics over a prolonged period. However, the emergence of resistance leading to multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) is the most challenging aspect of TB treatment. Therefore, there is a constant need to search for novel therapeutic strategies that could tackle the growing problem of drug resistance. One such strategy could be perturbing the functions of novel targets in Mtb, such as universal stress protein (USP, Rv1636), which binds to cAMP with a higher affinity than ATP. Orthologs of these proteins are conserved in all mycobacteria and act as “sink” for cAMP, facilitating the availability of this second messenger for signaling when required. Here, we have used the cAMP-bound crystal structure of USP from Mycobacterium smegmatis, a closely related homolog of Mtb, to conduct a structure-guided hunt for potential binders of Rv1636, primarily employing molecular docking approach. A library of 1.9 million compounds was subjected to virtual screening to obtain an initial set of ~2,000 hits. An integrative strategy that uses the available experimental data and consensus indications from other computational analyses has been employed to prioritize 22 potential binders of Rv1636 for experimental validations. Binding affinities of a few compounds among the 22 prioritized compounds were tested through microscale thermophoresis assays, and two compounds of natural origin showed promising binding affinities with Rv1636. We believe that this study provides an important initial guidance to medicinal chemists and biochemists to synthesize and test an enriched set of compounds that have the potential to inhibit Mtb USP (Rv1636), thereby aiding the development of novel antitubercular lead candidates.
format Online
Article
Text
id pubmed-8126637
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-81266372021-05-18 Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation Chakraborti, Sohini Chakraborty, Moubani Bose, Avipsa Srinivasan, Narayanaswamy Visweswariah, Sandhya S. Front Mol Biosci Molecular Biosciences Millions of deaths caused by Mycobacterium tuberculosis (Mtb) are reported worldwide every year. Treatment of tuberculosis (TB) involves the use of multiple antibiotics over a prolonged period. However, the emergence of resistance leading to multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) is the most challenging aspect of TB treatment. Therefore, there is a constant need to search for novel therapeutic strategies that could tackle the growing problem of drug resistance. One such strategy could be perturbing the functions of novel targets in Mtb, such as universal stress protein (USP, Rv1636), which binds to cAMP with a higher affinity than ATP. Orthologs of these proteins are conserved in all mycobacteria and act as “sink” for cAMP, facilitating the availability of this second messenger for signaling when required. Here, we have used the cAMP-bound crystal structure of USP from Mycobacterium smegmatis, a closely related homolog of Mtb, to conduct a structure-guided hunt for potential binders of Rv1636, primarily employing molecular docking approach. A library of 1.9 million compounds was subjected to virtual screening to obtain an initial set of ~2,000 hits. An integrative strategy that uses the available experimental data and consensus indications from other computational analyses has been employed to prioritize 22 potential binders of Rv1636 for experimental validations. Binding affinities of a few compounds among the 22 prioritized compounds were tested through microscale thermophoresis assays, and two compounds of natural origin showed promising binding affinities with Rv1636. We believe that this study provides an important initial guidance to medicinal chemists and biochemists to synthesize and test an enriched set of compounds that have the potential to inhibit Mtb USP (Rv1636), thereby aiding the development of novel antitubercular lead candidates. Frontiers Media S.A. 2021-05-03 /pmc/articles/PMC8126637/ /pubmed/34012976 http://dx.doi.org/10.3389/fmolb.2021.599221 Text en Copyright © 2021 Chakraborti, Chakraborty, Bose, Srinivasan and Visweswariah. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Chakraborti, Sohini
Chakraborty, Moubani
Bose, Avipsa
Srinivasan, Narayanaswamy
Visweswariah, Sandhya S.
Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title_full Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title_fullStr Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title_full_unstemmed Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title_short Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation
title_sort identification of potential binders of mtb universal stress protein (rv1636) through an in silico approach and insights into compound selection for experimental validation
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126637/
https://www.ncbi.nlm.nih.gov/pubmed/34012976
http://dx.doi.org/10.3389/fmolb.2021.599221
work_keys_str_mv AT chakrabortisohini identificationofpotentialbindersofmtbuniversalstressproteinrv1636throughaninsilicoapproachandinsightsintocompoundselectionforexperimentalvalidation
AT chakrabortymoubani identificationofpotentialbindersofmtbuniversalstressproteinrv1636throughaninsilicoapproachandinsightsintocompoundselectionforexperimentalvalidation
AT boseavipsa identificationofpotentialbindersofmtbuniversalstressproteinrv1636throughaninsilicoapproachandinsightsintocompoundselectionforexperimentalvalidation
AT srinivasannarayanaswamy identificationofpotentialbindersofmtbuniversalstressproteinrv1636throughaninsilicoapproachandinsightsintocompoundselectionforexperimentalvalidation
AT visweswariahsandhyas identificationofpotentialbindersofmtbuniversalstressproteinrv1636throughaninsilicoapproachandinsightsintocompoundselectionforexperimentalvalidation