Dataset Information

A riboswitch regulates expression of the coenzyme B12-independent methionine synthase in Mycobacterium tuberculosis: implications for differential methionine synthase function in strains H37Rv and CDC1551.

ABSTRACT: We observed vitamin B(12)-mediated growth inhibition of Mycobacterium tuberculosis strain CDC1551. The B(12) sensitivity was mapped to a polymorphism in metH, encoding a coenzyme B(12)-dependent methionine synthase. Vitamin B(12)-resistant suppressor mutants of CDC1551 containing mutations in a B(12) riboswitch upstream of the metE gene, which encodes a B(12)-independent methionine synthase, were isolated. Expression analysis confirmed that the B(12) riboswitch is a transcriptional regulator of metE in M. tuberculosis.

SUBMITTER: Warner DF

PROVIDER: S-EPMC1855906 | biostudies-other | 2007 May

REPOSITORIES: biostudies-other

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A riboswitch regulates expression of the coenzyme B12-independent methionine synthase in Mycobacterium tuberculosis: implications for differential methionine synthase function in strains H37Rv and CDC1551.

Warner Digby F DF Savvi Suzana S Mizrahi Valerie V Dawes Stephanie S SS

Journal of bacteriology 20070216 9

We observed vitamin B(12)-mediated growth inhibition of Mycobacterium tuberculosis strain CDC1551. The B(12) sensitivity was mapped to a polymorphism in metH, encoding a coenzyme B(12)-dependent methionine synthase. Vitamin B(12)-resistant suppressor mutants of CDC1551 containing mutations in a B(12) riboswitch upstream of the metE gene, which encodes a B(12)-independent methionine synthase, were isolated. Expression analysis confirmed that the B(12) riboswitch is a transcriptional regulator of ...[more]

PMID: 17307844

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Project description:BackgroundMycobacterium tuberculosis (M.tb) is the causative agent of tuberculosis, killing ~1.7 million people annually. The remarkable capacity of this pathogen to escape the host immune system for decades and then to cause active tuberculosis disease, makes M.tb a successful pathogen. Currently available anti-mycobacterial therapy has poor compliance due to requirement of prolonged treatment resulting in accelerated emergence of drug resistant strains. Hence, there is an urgent need to identify new chemical entities with novel mechanism of action and potent activity against the drug resistant strains.ResultsThis study describes novel computational models developed for predicting inhibitors against both replicative and non-replicative phase of drug-tolerant M.tb under carbon starvation stage. These models were trained on highly diverse dataset of 2135 compounds using four classes of binary fingerprint namely PubChem, MACCS, EState, SubStructure. We achieved the best performance Matthews correlation coefficient (MCC) of 0.45 using the model based on MACCS fingerprints for replicative phase inhibitor dataset. In case of non-replicative phase, Hybrid model based on PubChem, MACCS, EState, SubStructure fingerprints performed better with maximum MCC value of 0.28. In this study, we have shown that molecular weight, polar surface area and rotatable bond count of inhibitors (replicating and non-replicating phase) are significantly different from non-inhibitors. The fragment analysis suggests that substructures like hetero_N_nonbasic, heterocyclic, carboxylic_ester, and hetero_N_basic_no_H are predominant in replicating phase inhibitors while hetero_O, ketone, secondary_mixed_amine are preferred in the non-replicative phase inhibitors. It was observed that nitro, alkyne, and enamine are important for the molecules inhibiting bacilli residing in both the phases. In this study, we introduced a new algorithm based on Matthews correlation coefficient called MCCA for feature selection and found that this algorithm is better or comparable to frequency based approach.ConclusionIn this study, we have developed computational models to predict phase specific inhibitors against drug resistant strains of M.tb grown under carbon starvation. Based on simple molecular properties, we have derived some rules, which would be useful in robust identification of tuberculosis inhibitors. Based on these observations, we have developed a webserver for predicting inhibitors against drug tolerant M.tb H37Rv available at http://crdd.osdd.net/oscadd/mdri/.

Dataset Information

A riboswitch regulates expression of the coenzyme B12-independent methionine synthase in Mycobacterium tuberculosis: implications for differential methionine synthase function in strains H37Rv and CDC1551.

Publications

A riboswitch regulates expression of the coenzyme B12-independent methionine synthase in Mycobacterium tuberculosis: implications for differential methionine synthase function in strains H37Rv and CDC1551.

Similar Datasets

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