Dataset Information

3D-QSAR and cell wall permeability of antitubercular nitroimidazoles against Mycobacterium tuberculosis.

ABSTRACT: Inhibitory activities of monocyclic nitroimidazoles against Mycobacterium tuberculosis (Mtb) deazaflavin-dependent nitroreductase (DDN) were modeled by using docking, pharmacophore alignment and comparative molecular similarity indices analysis (CoMSIA) methods. A statistically significant model obtained from CoMSIA was established based on a training set using pharmacophore-based molecular alignment. The leave-one out cross-validation correlation coefficients q2 (CoMSIA) were 0.681. The CoMSIA model had a good correlation (r2(pred)/CoMSIA = 0.611) between the predicted and experimental activities against excluded test sets. The generated model suggests that electrostatic, hydrophobic and hydrogen bonding interactions all play important roles for interaction between ligands and receptors. The predicted cell wall permeability (logP(app)) for substrates with high inhibitory activity against Mtb were investigated. The distribution coefficient (logD) range was 2.41 < logD < 2.89 for the Mtb cell wall membrane permeability. The larger the polar surface area is, the better the permeability is. A larger radius of gyration (rgry) and a small fraction of rotatable bonds (f(rtob)) of these molecules leads to higher cell wall penetration ability. The information obtained from the in silico tools might be useful in the design of more potent compounds that are active against Mtb.

SUBMITTER: Lee SH

PROVIDER: S-EPMC6270125 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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3D-QSAR and cell wall permeability of antitubercular nitroimidazoles against Mycobacterium tuberculosis.

Lee Sang-Ho SH Choi Minsung M Kim Pilho P Myung Pyung Keun PK

Molecules (Basel, Switzerland) 20131108 11

Inhibitory activities of monocyclic nitroimidazoles against Mycobacterium tuberculosis (Mtb) deazaflavin-dependent nitroreductase (DDN) were modeled by using docking, pharmacophore alignment and comparative molecular similarity indices analysis (CoMSIA) methods. A statistically significant model obtained from CoMSIA was established based on a training set using pharmacophore-based molecular alignment. The leave-one out cross-validation correlation coefficients q2 (CoMSIA) were 0.681. The CoMSIA ...[more]

PMID: 24217328

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Project description:The drug-resistant strains of Mycobacterium tuberculosis (M.tb) are evolving at an alarming rate, and this indicates the urgent need for the development of novel antitubercular drugs. However, genetic mutations, complex cell wall system of M.tb, and influx-efflux transporter systems are the major permeability barriers that significantly affect the M.tb drugs activity. Thus, most of the small molecules are ineffective to arrest the M.tb cell growth, even though they are effective at the cellular level. To address the permeability issue, different machine learning models that effectively distinguish permeable and impermeable compounds were developed. The enzyme-based (IC50) and cell-based (minimal inhibitory concentration) data were considered for the classification of M.tb permeable and impermeable compounds. It was assumed that the compounds that have high activity in both enzyme-based and cell-based assays possess the required M.tb cell wall permeability. The XGBoost model was outperformed when compared to the other models generated from different algorithms such as random forest, support vector machine, and naïve Bayes. The XGBoost model was further validated using the validation data set (21 permeable and 19 impermeable compounds). The obtained machine learning models suggested that various descriptors such as molecular weight, atom type, electrotopological state, hydrogen bond donor/acceptor counts, and extended topochemical atoms of molecules are the major determining factors for both M.tb cell permeability and inhibitory activity. Furthermore, potential antimycobacterial drugs were identified using computational drug repurposing. All the approved drugs from DrugBank were collected and screened using the developed permeability model. The screened compounds were given as input in the PASS server for the identification of possible antimycobacterial compounds. The drugs that were retained after two filters were docked to the active site of 10 different potential antimycobacterial drug targets. The results obtained from this study may improve the understanding of M.tb permeability and activity that may aid in the development of novel antimycobacterial drugs.

Project description:UnlabelledMycobacterium tuberculosis can persist for decades in the human host. Stringent response pathways involving inorganic polyphosphate [poly(P)], which is synthesized and hydrolyzed by polyphosphate kinase (PPK) and exopolyphosphatase (PPX), respectively, are believed to play a key regulatory role in bacterial persistence. We show here that M. tuberculosis poly(P) accumulation is temporally linked to bacillary growth restriction. We also identify M. tuberculosis Rv1026 as a novel exopolyphosphatase with hydrolytic activity against long-chain poly(P). Using a tetracycline-inducible expression system to knock down expression of Rv1026 (ppx2), we found that M. tuberculosis poly(P) accumulation leads to slowed growth and reduced susceptibility to isoniazid, increased resistance to heat and acid pH, and enhanced intracellular survival during macrophage infection. By transmission electron microscopy, the ppx2 knockdown strain exhibited increased cell wall thickness, which was associated with reduced cell wall permeability to hydrophilic drugs rather than induction of drug efflux pumps or altered biofilm formation relative to the empty vector control. Transcriptomic and metabolomic analysis revealed a metabolic downshift of the ppx2 knockdown characterized by reduced transcription and translation and a downshift of glycerol-3-phosphate levels. In summary, poly(P) plays an important role in M. tuberculosis growth restriction and metabolic downshift and contributes to antibiotic tolerance through altered cell wall permeability.ImportanceThe stringent response, involving the regulatory molecules inorganic polyphosphate [poly(P)] and (p)ppGpp, is believed to mediate Mycobacterium tuberculosis persistence. In this study, we identified a novel enzyme (Rv1026, PPX2) responsible for hydrolyzing long-chain poly(P). A genetically engineered M. tuberculosis strain deficient in the ppx2 gene showed increased poly(P) levels, which were associated with early bacterial growth arrest and reduced susceptibility to the first-line drug isoniazid, as well as increased bacterial survival during exposure to stress conditions and within macrophages. Relative to the control strain, the mutant showed increased thickness of the cell wall and reduced drug permeability. Global gene expression and metabolite analysis revealed reduced expression of the transcriptional and translational machinery and a shift in carbon source utilization. In summary, regulation of the poly(P) balance is critical for persister formation in M. tuberculosis.

Dataset Information

3D-QSAR and cell wall permeability of antitubercular nitroimidazoles against Mycobacterium tuberculosis.

Publications

3D-QSAR and cell wall permeability of antitubercular nitroimidazoles against Mycobacterium tuberculosis.

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