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Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis.

ABSTRACT: BACKGROUND: An explosive global spreading of multidrug resistant Mycobacterium tuberculosis (Mtb) is a catastrophe, which demands an urgent need to design or develop novel/potent antitubercular agents. The Lysine/DAP biosynthetic pathway is a promising target due its specific role in cell wall and amino acid biosynthesis. Here, we report identification of potential antitubercular candidates targeting Mtb dihydrodipicolinate synthase (DHDPS) enzyme of the pathway using virtual screening protocols. RESULTS: In the present study, we generated three sets of drug-like molecules in order to screen potential inhibitors against Mtb drug target DHDPS. The first set of compounds was a combinatorial library, which comprised analogues of pyruvate (substrate of DHDPS). The second set of compounds consisted of pyruvate-like molecules i.e. structurally similar to pyruvate, obtained using 3D flexible similarity search against NCI and PubChem database. The third set constituted 3847 anti-infective molecules obtained from PubChem. These compounds were subjected to Lipinski's rule of drug-like five filters. Finally, three sets of drug-like compounds i.e. 4088 pyruvate analogues, 2640 pyruvate-like molecules and 1750 anti-infective molecules were docked at the active site of Mtb DHDPS (PDB code: 1XXX used in the molecular docking calculations) to select inhibitors establishing favorable interactions. CONCLUSION: The above-mentioned virtual screening procedures helped in the identification of several potent candidates that possess inhibitory activity against Mtb DHDPS. Therefore, these novel scaffolds/candidates which could have the potential to inhibit Mtb DHDPS enzyme would represent promising starting points as lead compounds and certainly aid the experimental designing of antituberculars in lesser time.

SUBMITTER: Garg A

PROVIDER: S-EPMC3009526 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

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Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis.

Garg Aarti A Tewari Rupinder R Raghava Gajendra P S GP

BMC bioinformatics 20100118

<h4>Background</h4>An explosive global spreading of multidrug resistant Mycobacterium tuberculosis (Mtb) is a catastrophe, which demands an urgent need to design or develop novel/potent antitubercular agents. The Lysine/DAP biosynthetic pathway is a promising target due its specific role in cell wall and amino acid biosynthesis. Here, we report identification of potential antitubercular candidates targeting Mtb dihydrodipicolinate synthase (DHDPS) enzyme of the pathway using virtual screening pr ...[more]

PMID: 20122228

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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/.

Project description:Tuberculosis (TB) caused by Mycobacterium tuberculosis (M. tb) is one of the most devastating infectious diseases afflicting a large number of human lives. In spite of the availability of several drugs for treating TB, emergence of drug-resistant strains of the pathogen has made treatment and eradication of TB a challenging task. Hence, there is an imperative need for new intervention strategies to target M. tb. The enzymes of the diaminopimelate pathway, involved in lysine biosynthesis as well as in cell wall biosynthesis, have been considered as important anti-TB drug targets. One such enzyme is dihydrodipicolinate reductase (DapB), catalyzing the reduction of 2,3-dihydrodipicolinic acid to 2,3,4,5-tetrahydro-dipicolinic acid by utilizing NADH/NADPH as its cofactor. Here, we have generated an antisense knockdown mutant strain of dapB and demonstrated a crucial role of dapB in the in vitro and intracellular growth of M. tb. Further, in silico virtual screening was performed by employing a library of ~95,000 compounds for the identification of inhibitory molecules against DapB. The molecules with high docking scores were screened against the enzymatic activity of DapB to determine their IC50 values. Further, hit molecules that inhibited DapB were screened against the M. tb growth in broth culture and inside macrophages. The molecules exhibiting M. tb inhibition were also evaluated for their cytotoxicity against various mammalian cell lines. In summary, we have identified a lead molecule, B59, with an IC50 value of 11 µg/mL and MIC99 value of 20 µg/mL, which can be further optimized to develop potent inhibitory compounds against M. tb DapB. IMPORTANCE Non-compliance to lengthy antituberculosis (TB) treatment regimen, associated side effects, and emergence of drug-resistant strains of Mycobacterium tuberculosis (M. tb) emphasize the need to develop more effective anti-TB drugs. Here, we have evaluated the role of M. tb dihydrodipicolinate reductase (DapB), a component of the diaminopimelate pathway, which is involved in the biosynthesis of both lysine and mycobacterial cell wall. We showed that DapB is essential for the in vitro as well as intracellular growth of M. tb. We further utilized M. tb DapB, as a target for identification of inhibitors by employing in silico virtual screening, and conducted various in vitro screening assays to identify inhibitors with potential to inhibit DapB activity and in vitro and intracellular growth of M. tb with no significant cytotoxicity against various mammalian cell lines. Altogether, M. tb DapB serves as an important drug target and a hit molecule, namely, 4-(3-Phenylazoquinoxalin-2-yl) butanoic acid methyl ester has been identified as an antimycobacterial molecule in our study.

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Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis.

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Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis.

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