Cargando…
Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening
BACKGROUND: 7,8-Diaminopelargonic acid synthase (BioA), an enzyme of biotin biosynthesis pathway, is a well-known promising target for anti-tubercular drug development. METHODS: In this study, structure-based virtual screening was employed against the active site of BioA to identify new chemical ent...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935190/ https://www.ncbi.nlm.nih.gov/pubmed/29750019 http://dx.doi.org/10.2147/DDDT.S144240 |
_version_ | 1783320255232212992 |
---|---|
author | Singh, Swati Khare, Garima Bahal, Ritika Kar Ghosh, Prahlad C Tyagi, Anil K |
author_facet | Singh, Swati Khare, Garima Bahal, Ritika Kar Ghosh, Prahlad C Tyagi, Anil K |
author_sort | Singh, Swati |
collection | PubMed |
description | BACKGROUND: 7,8-Diaminopelargonic acid synthase (BioA), an enzyme of biotin biosynthesis pathway, is a well-known promising target for anti-tubercular drug development. METHODS: In this study, structure-based virtual screening was employed against the active site of BioA to identify new chemical entities for BioA inhibition and top ranking compounds were evaluated for their ability to inhibit BioA enzymatic activity. RESULTS: Seven compounds inhibited BioA enzymatic activity by greater than 60% at 100 μg/mL with most potent compounds being A36, A35 and A65, displaying IC(50) values of 10.48 μg/mL (28.94 μM), 33.36 μg/mL (88.16 μM) and 39.17 μg/mL (114.42 μM), respectively. Compounds A65 and A35 inhibited Mycobacterium tuberculosis (M. tuberculosis) growth with MIC(90) of 20 μg/mL and 80 μg/mL, respectively, whereas compound A36 exhibited relatively weak inhibition of M. tuberculosis growth (83% inhibition at 200 μg/mL). Compound A65 emerged as the most potent compound identified in our study that inhibited BioA enzymatic activity and growth of the pathogen and possessed drug-like properties. CONCLUSION: Our study has identified a few hit molecules against M. tuberculosis BioA that can act as potential candidates for further development of potent anti-tubercular therapeutic agents. |
format | Online Article Text |
id | pubmed-5935190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59351902018-05-10 Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening Singh, Swati Khare, Garima Bahal, Ritika Kar Ghosh, Prahlad C Tyagi, Anil K Drug Des Devel Ther Original Research BACKGROUND: 7,8-Diaminopelargonic acid synthase (BioA), an enzyme of biotin biosynthesis pathway, is a well-known promising target for anti-tubercular drug development. METHODS: In this study, structure-based virtual screening was employed against the active site of BioA to identify new chemical entities for BioA inhibition and top ranking compounds were evaluated for their ability to inhibit BioA enzymatic activity. RESULTS: Seven compounds inhibited BioA enzymatic activity by greater than 60% at 100 μg/mL with most potent compounds being A36, A35 and A65, displaying IC(50) values of 10.48 μg/mL (28.94 μM), 33.36 μg/mL (88.16 μM) and 39.17 μg/mL (114.42 μM), respectively. Compounds A65 and A35 inhibited Mycobacterium tuberculosis (M. tuberculosis) growth with MIC(90) of 20 μg/mL and 80 μg/mL, respectively, whereas compound A36 exhibited relatively weak inhibition of M. tuberculosis growth (83% inhibition at 200 μg/mL). Compound A65 emerged as the most potent compound identified in our study that inhibited BioA enzymatic activity and growth of the pathogen and possessed drug-like properties. CONCLUSION: Our study has identified a few hit molecules against M. tuberculosis BioA that can act as potential candidates for further development of potent anti-tubercular therapeutic agents. Dove Medical Press 2018-05-01 /pmc/articles/PMC5935190/ /pubmed/29750019 http://dx.doi.org/10.2147/DDDT.S144240 Text en © 2018 Singh et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Singh, Swati Khare, Garima Bahal, Ritika Kar Ghosh, Prahlad C Tyagi, Anil K Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title | Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title_full | Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title_fullStr | Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title_full_unstemmed | Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title_short | Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening |
title_sort | identification of mycobacterium tuberculosis bioa inhibitors by using structure-based virtual screening |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935190/ https://www.ncbi.nlm.nih.gov/pubmed/29750019 http://dx.doi.org/10.2147/DDDT.S144240 |
work_keys_str_mv | AT singhswati identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT kharegarima identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT bahalritikakar identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT ghoshprahladc identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT tyagianilk identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening |