Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening
Swati Singh,1 Garima Khare,1 Ritika Kar Bahal,1 Prahlad C Ghosh,1 Anil K Tyagi1,2 1Department of Biochemistry, University of Delhi South Campus, New Delhi, India; 2Guru Gobind Singh Indraprastha University, New Delhi, India Background: 7,8-Diaminopelargonic acid synthase (BioA), an enzyme of bioti...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2018-05-01
|
Series: | Drug Design, Development and Therapy |
Subjects: | |
Online Access: | https://www.dovepress.com/identification-of-mycobacterium-tuberculosis-bioa-inhibitors-by-using--peer-reviewed-article-DDDT |
id |
doaj-8fd95a7168234079afd9db5960dffde9 |
---|---|
record_format |
Article |
spelling |
doaj-8fd95a7168234079afd9db5960dffde92020-11-24T23:46:13ZengDove Medical PressDrug Design, Development and Therapy1177-88812018-05-01Volume 121065107938050Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screeningSingh SKhare GBahal RKGhosh PCTyagi AKSwati Singh,1 Garima Khare,1 Ritika Kar Bahal,1 Prahlad C Ghosh,1 Anil K Tyagi1,2 1Department of Biochemistry, University of Delhi South Campus, New Delhi, India; 2Guru Gobind Singh Indraprastha University, New Delhi, India 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 IC50 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 MIC90 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. Keywords: Mycobacterium tuberculosis, BioA, virtual screening, drug discoveryhttps://www.dovepress.com/identification-of-mycobacterium-tuberculosis-bioa-inhibitors-by-using--peer-reviewed-article-DDDTMycobacterium tuberculosisBioAvirtual screeningdrug discovery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Singh S Khare G Bahal RK Ghosh PC Tyagi AK |
spellingShingle |
Singh S Khare G Bahal RK Ghosh PC Tyagi AK Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening Drug Design, Development and Therapy Mycobacterium tuberculosis BioA virtual screening drug discovery |
author_facet |
Singh S Khare G Bahal RK Ghosh PC Tyagi AK |
author_sort |
Singh S |
title |
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_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_sort |
identification of mycobacterium tuberculosis bioa inhibitors by using structure-based virtual screening |
publisher |
Dove Medical Press |
series |
Drug Design, Development and Therapy |
issn |
1177-8881 |
publishDate |
2018-05-01 |
description |
Swati Singh,1 Garima Khare,1 Ritika Kar Bahal,1 Prahlad C Ghosh,1 Anil K Tyagi1,2 1Department of Biochemistry, University of Delhi South Campus, New Delhi, India; 2Guru Gobind Singh Indraprastha University, New Delhi, India 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 IC50 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 MIC90 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. Keywords: Mycobacterium tuberculosis, BioA, virtual screening, drug discovery |
topic |
Mycobacterium tuberculosis BioA virtual screening drug discovery |
url |
https://www.dovepress.com/identification-of-mycobacterium-tuberculosis-bioa-inhibitors-by-using--peer-reviewed-article-DDDT |
work_keys_str_mv |
AT singhs identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT khareg identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT bahalrk identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT ghoshpc identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening AT tyagiak identificationofmycobacteriumtuberculosisbioainhibitorsbyusingstructurebasedvirtualscreening |
_version_ |
1725494164260388864 |