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In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv

The emergence of multi-drug-resistant Mycobacterium tuberculosis (Mtb) strains has rendered many of the currently available anti-TB drugs ineffective. Hence, there is a pressing need to discover new potential drug targets/candidates. In this study, attempts have been made to identify novel inhibitor...

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Autores principales: Maurya, Satyamvada, Jain, Amita, Rehman, Md Tabish, Hakamy, Ali, Bantun, Farkad, AlAjmi, Mohamed F., Singh, Vineeta, Zehra, Aafreen, Khan, Feroz, Haque, Shafiul, Mishra, Bhartendu Nath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968056/
https://www.ncbi.nlm.nih.gov/pubmed/36838640
http://dx.doi.org/10.3390/molecules28041652
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author Maurya, Satyamvada
Jain, Amita
Rehman, Md Tabish
Hakamy, Ali
Bantun, Farkad
AlAjmi, Mohamed F.
Singh, Vineeta
Zehra, Aafreen
Khan, Feroz
Haque, Shafiul
Mishra, Bhartendu Nath
author_facet Maurya, Satyamvada
Jain, Amita
Rehman, Md Tabish
Hakamy, Ali
Bantun, Farkad
AlAjmi, Mohamed F.
Singh, Vineeta
Zehra, Aafreen
Khan, Feroz
Haque, Shafiul
Mishra, Bhartendu Nath
author_sort Maurya, Satyamvada
collection PubMed
description The emergence of multi-drug-resistant Mycobacterium tuberculosis (Mtb) strains has rendered many of the currently available anti-TB drugs ineffective. Hence, there is a pressing need to discover new potential drug targets/candidates. In this study, attempts have been made to identify novel inhibitors of the ribonuclease VapC2 of Mtb H37Rv using various computational techniques. Ribonuclease VapC2 Mtb H37Rv’s protein structure was retrieved from the PDB databank, 22 currently used anti-TB drugs were retrieved from the PubChem database, and protein–ligand interactions were analyzed by docking studies. Out of the 22 drugs, rifampicin (RIF), being a first-line drug, showed the best binding energy (−8.8 Kcal/mol) with Mtb H37Rv VapC2; hence, it was selected as a parent molecule for the design of its derivatives. Based on shape score and radial plot criteria, out of 500 derivatives designed through SPARK (Cresset(®), Royston, UK) program, the 10 best RIF derivatives were selected for further studies. All the selected derivatives followed the ADME criteria concerning drug-likeness. The docking of ribonuclease VapC2 with RIF derivatives revealed the best binding energy of −8.1 Kcal/mol with derivative 1 (i.e., RIF-155841). A quantitative structure–activity relationship study revealed that derivative 1’s activity assists in the inhibition of ribonuclease VapC2. The stability of the VapC2–RIF155841 complex was evaluated using molecular dynamics simulations for 50 ns and the complex was found to be stable after 10 nsec. Further, a chemical synthesis scheme was designed for the newly identified RIF derivative (RIF-155841), which verified that its chemical synthesis is possible for future in vitro/in vivo experimental validation. Overall, this study evaluated the potential of the newly designed RIF derivatives with respect to the Mtb VapC2 protein, which is predicted to be involved in some indispensable processes of the related pathogen. Future experimental studies regarding RIF-155841, including the exploration of the remaining RIF derivatives, are warranted to verify our current findings.
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spelling pubmed-99680562023-02-27 In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv Maurya, Satyamvada Jain, Amita Rehman, Md Tabish Hakamy, Ali Bantun, Farkad AlAjmi, Mohamed F. Singh, Vineeta Zehra, Aafreen Khan, Feroz Haque, Shafiul Mishra, Bhartendu Nath Molecules Article The emergence of multi-drug-resistant Mycobacterium tuberculosis (Mtb) strains has rendered many of the currently available anti-TB drugs ineffective. Hence, there is a pressing need to discover new potential drug targets/candidates. In this study, attempts have been made to identify novel inhibitors of the ribonuclease VapC2 of Mtb H37Rv using various computational techniques. Ribonuclease VapC2 Mtb H37Rv’s protein structure was retrieved from the PDB databank, 22 currently used anti-TB drugs were retrieved from the PubChem database, and protein–ligand interactions were analyzed by docking studies. Out of the 22 drugs, rifampicin (RIF), being a first-line drug, showed the best binding energy (−8.8 Kcal/mol) with Mtb H37Rv VapC2; hence, it was selected as a parent molecule for the design of its derivatives. Based on shape score and radial plot criteria, out of 500 derivatives designed through SPARK (Cresset(®), Royston, UK) program, the 10 best RIF derivatives were selected for further studies. All the selected derivatives followed the ADME criteria concerning drug-likeness. The docking of ribonuclease VapC2 with RIF derivatives revealed the best binding energy of −8.1 Kcal/mol with derivative 1 (i.e., RIF-155841). A quantitative structure–activity relationship study revealed that derivative 1’s activity assists in the inhibition of ribonuclease VapC2. The stability of the VapC2–RIF155841 complex was evaluated using molecular dynamics simulations for 50 ns and the complex was found to be stable after 10 nsec. Further, a chemical synthesis scheme was designed for the newly identified RIF derivative (RIF-155841), which verified that its chemical synthesis is possible for future in vitro/in vivo experimental validation. Overall, this study evaluated the potential of the newly designed RIF derivatives with respect to the Mtb VapC2 protein, which is predicted to be involved in some indispensable processes of the related pathogen. Future experimental studies regarding RIF-155841, including the exploration of the remaining RIF derivatives, are warranted to verify our current findings. MDPI 2023-02-08 /pmc/articles/PMC9968056/ /pubmed/36838640 http://dx.doi.org/10.3390/molecules28041652 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maurya, Satyamvada
Jain, Amita
Rehman, Md Tabish
Hakamy, Ali
Bantun, Farkad
AlAjmi, Mohamed F.
Singh, Vineeta
Zehra, Aafreen
Khan, Feroz
Haque, Shafiul
Mishra, Bhartendu Nath
In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title_full In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title_fullStr In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title_full_unstemmed In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title_short In Silico Identification of Novel Derivatives of Rifampicin Targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin Derivatives Target VapC2 of Mtb H37Rv
title_sort in silico identification of novel derivatives of rifampicin targeting ribonuclease vapc2 of m. tuberculosis h37rv: rifampicin derivatives target vapc2 of mtb h37rv
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968056/
https://www.ncbi.nlm.nih.gov/pubmed/36838640
http://dx.doi.org/10.3390/molecules28041652
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