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Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach

Mycobacterium tuberculosis (MTB) is becoming more and more resistant to drugs and it is a common problem, making current antimicrobials ineffective and highlighting the need for new TB drugs. One of the promising targets for treating MTB is MurB enzymes. This study aimed to identify potential inhibi...

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Autores principales: Verma, Ankit, Kumar, Vijay, Naik, Bindu, Masood Khan, Javed, Singh, Pallavi, Erik Joakim Saris, Per, Gupta, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362793/
https://www.ncbi.nlm.nih.gov/pubmed/37483837
http://dx.doi.org/10.1016/j.sjbs.2023.103730
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author Verma, Ankit
Kumar, Vijay
Naik, Bindu
Masood Khan, Javed
Singh, Pallavi
Erik Joakim Saris, Per
Gupta, Sanjay
author_facet Verma, Ankit
Kumar, Vijay
Naik, Bindu
Masood Khan, Javed
Singh, Pallavi
Erik Joakim Saris, Per
Gupta, Sanjay
author_sort Verma, Ankit
collection PubMed
description Mycobacterium tuberculosis (MTB) is becoming more and more resistant to drugs and it is a common problem, making current antimicrobials ineffective and highlighting the need for new TB drugs. One of the promising targets for treating MTB is MurB enzymes. This study aimed to identify potential inhibitors of MurB enzymes in M. tuberculosis, as drug resistance among MTB is a significant problem. Attempts are being made to conduct a virtual screening of 30,417 compounds, and thirty-two compounds were chosen for further analysis based on their binding conformations. The selected compounds were assessed for their drug-likeness, pharmacokinetics, and physiochemical characteristics, and seven compounds with binding energy lower than flavin (FAD) were identified. Further, molecular dynamics simulation analysis of these seven compounds found that four of them, namely DB12983, DB15688, ZINC084726167, and ZINC254071113 formed stable complexes with the MurB binding site, exhibiting promising inhibitory activity. These compounds have not been mentioned in any other study, indicating their novelty. The study suggests that these four compounds could be promising candidates for treating MTB, but their effectiveness needs to be validated through in vitro and in vivo experiments. Overall, the findings of this study provide new insight into potential drug targets and candidates for combating drug-resistant MTB.
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spelling pubmed-103627932023-07-23 Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach Verma, Ankit Kumar, Vijay Naik, Bindu Masood Khan, Javed Singh, Pallavi Erik Joakim Saris, Per Gupta, Sanjay Saudi J Biol Sci Original Article Mycobacterium tuberculosis (MTB) is becoming more and more resistant to drugs and it is a common problem, making current antimicrobials ineffective and highlighting the need for new TB drugs. One of the promising targets for treating MTB is MurB enzymes. This study aimed to identify potential inhibitors of MurB enzymes in M. tuberculosis, as drug resistance among MTB is a significant problem. Attempts are being made to conduct a virtual screening of 30,417 compounds, and thirty-two compounds were chosen for further analysis based on their binding conformations. The selected compounds were assessed for their drug-likeness, pharmacokinetics, and physiochemical characteristics, and seven compounds with binding energy lower than flavin (FAD) were identified. Further, molecular dynamics simulation analysis of these seven compounds found that four of them, namely DB12983, DB15688, ZINC084726167, and ZINC254071113 formed stable complexes with the MurB binding site, exhibiting promising inhibitory activity. These compounds have not been mentioned in any other study, indicating their novelty. The study suggests that these four compounds could be promising candidates for treating MTB, but their effectiveness needs to be validated through in vitro and in vivo experiments. Overall, the findings of this study provide new insight into potential drug targets and candidates for combating drug-resistant MTB. Elsevier 2023-08 2023-07-04 /pmc/articles/PMC10362793/ /pubmed/37483837 http://dx.doi.org/10.1016/j.sjbs.2023.103730 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Verma, Ankit
Kumar, Vijay
Naik, Bindu
Masood Khan, Javed
Singh, Pallavi
Erik Joakim Saris, Per
Gupta, Sanjay
Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title_full Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title_fullStr Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title_full_unstemmed Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title_short Screening and molecular dynamics simulation of compounds inhibiting MurB enzyme of drug-resistant Mycobacterium tuberculosis: An in-silico approach
title_sort screening and molecular dynamics simulation of compounds inhibiting murb enzyme of drug-resistant mycobacterium tuberculosis: an in-silico approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362793/
https://www.ncbi.nlm.nih.gov/pubmed/37483837
http://dx.doi.org/10.1016/j.sjbs.2023.103730
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