Virtual Screening Identifies Novel and Potent Inhibitors of Mycobacterium tuberculosis PknB with Antibacterial Activity.

Mycobacterium tuberculosis protein kinase B (PknB) is essential to mycobacterial growth and has received considerable attention as an attractive target for novel anti-tuberculosis drug development. Here, virtual screening, validated by biological assays, was applied to select candidate inhibitors of M. tuberculosis PknB from the Specs compound library (www.specs.net). Fifteen compounds were identified as hits and selected for in vitro biological assays, of which three indoles (2, AE-848/42799159; 4, AH-262/34335013; 10, AP-124/40904362) inhibited growth of M. tuberculosis H37Rv with minimal inhibitory concentrations of 6.2, 12.5, and 6.2 µg/mL, respectively. Two compounds, 2 and 10, inhibited M. tuberculosis PknB activity in vitro, with IC50 values of 14.4 and 12.1 µM, respectively, suggesting this to be the likely basis of their anti-tubercular activity. In contrast, compound 4 displayed anti-tuberculosis activity against M. tuberculosis H37Rv but showed no inhibition of PknB activity (IC50 > 128 µM). We hypothesize that hydrolysis of its ethyl ester to a carboxylate moiety generates an active species that inhibits other M. tuberculosis enzymes. Molecular dynamics simulations of modeled complexes of compounds 2, 4, and 10 bound to M. tuberculosis PknB indicated that compound 4 has a lower affinity for M. tuberculosis PknB than compounds 2 and 10, as evidenced by higher calculated binding free energies, consistent with experiment. Compounds 2 and 10 therefore represent candidate inhibitors of M. tuberculosis PknB that provide attractive starting templates for optimization as anti-tubercular agents.

In silico design of novel quinazoline-based compounds as potential Mycobacterium tuberculosis PknB inhibitors through 2D and 3D-QSAR, molecular dynamics simulations combined with pharmacokinetic predictions.

Serine/threonine protein kinase B (PknB) is essential to Mycobacterium tuberculosis (M. tuberculosis) cell division and metabolism and a potential anti-tuberculosis drug target. Here we apply Hologram Quantitative Structure Activity Relationship (HQSAR) and three-dimensional QSAR (Comparative Molecular Similarity Indices Analysis (CoMSIA)) methods to investigate structural requirements for PknB inhibition by a series of previously described quinazoline derivatives. PknB binding of quinazolines was evaluated by molecular dynamics (MD) simulations of the catalytic domain and binding energies calculated by Molecular Mechanics/Poisson Boltzmann Surface Area (MM-PBSA) and Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) methods. Evaluation of a training set against experimental data showed both HQSAR and CoMSIA models to reliably predict quinazoline binding to PknB, and identified the quinazoline core and overall hydrophobicity as the major contributors to affinity. Calculated binding energies also agreed with experiment, and MD simulations identified hydrogen bonds to Glu93 and Val95, and hydrophobic interactions with Gly18, Phe19, Gly20, Val25, Thr99 and Met155, as crucial to PknB binding. Based on these results, additional quinazolines were designed and evaluated in silico, with HQSAR and CoMSIA models identifying sixteen compounds, with predicted PknB binding superior to the template, whose activity spectra and physicochemical, pharmacokinetic, and anti-M. tuberculosis properties were assessed. Compound, D060, bearing additional ortho- and meta-methyl groups on its R2 substituent, was superior to template regarding PknB inhibition and % caseum fraction unbound, and equivalent in other aspects, although predictions identified hepatotoxicity as a likely issue with the quinazoline series. These data provide a structural basis for rational design of quinazoline derivatives with more potent PknB inhibitory activity as candidate anti-tuberculosis agents.

Discovery of novel and potent InhA inhibitors by an in silico screening and pharmacokinetic prediction.

Aim: In silico screening approaches were performed to discover novel InhA inhibitors. Methods: Candidate InhA inhibitors were obtained from the combination of virtual screening and pharmacokinetic prediction. In addition, molecular mechanics Poisson-Boltzmann surface area, molecular mechanics Generalized Born surface area and WaterSwap methods were performed to investigate the binding interactions and binding energy of candidate compounds. Results: Four candidate compounds with suitable physicochemical, pharmacokinetic and antibacterial properties are proposed. The crucial interactions of the candidate compounds were H-bond, pi-pi and sigma-pi interactions observed in the InhA binding site. The binding affinity of these compounds was improved by hydrophobic interactions with hydrophobic side chains in the InhA pocket. Conclusion: The four newly identified InhA inhibitors reported in this study could serve as promising hit compounds against Mycobacterium tuberculosis and may be considered for further experimental studies.

Inhibition of Mycobacterium tuberculosis InhA by 3-nitropropanoic acid.

3-Nitropropanoic acid (3NP), a bioactive fungal natural product, was previously demonstrated to inhibit growth of Mycobacterium tuberculosis. Here we demonstrate that 3NP inhibits the 2-trans-enoyl-acyl carrier protein reductase (InhA) from Mycobacterium tuberculosis with an IC50 value of 71 µM, and present the crystal structure of the ternary InhA-NAD+ -3NP complex. The complex contains the InhA substrate-binding loop in an ordered, open conformation with Tyr158, a catalytically important residue whose orientation defines different InhA substrate/inhibitor complex conformations, in the "out" position. 3NP occupies a hydrophobic binding site adjacent to the NAD+ cofactor and close to that utilized by the diphenyl ether triclosan, but binds predominantly via electrostatic and water-mediated hydrogen-bonding interactions with the protein backbone and NAD+ cofactor. The identified mode of 3NP binding provides opportunities to improve inhibitory activity toward InhA.

Discovery of New and Potent InhA Inhibitors as Antituberculosis Agents: Structure-Based Virtual Screening Validated by Biological Assays and X-ray Crystallography.

The enoyl-acyl carrier protein reductase InhA of Mycobacterium tuberculosis is an attractive, validated target for antituberculosis drug development. Moreover, direct inhibitors of InhA remain effective against InhA variants with mutations associated with isoniazid resistance, offering the potential for activity against MDR isolates. Here, structure-based virtual screening supported by biological assays was applied to identify novel InhA inhibitors as potential antituberculosis agents. High-speed Glide SP docking was initially performed against two conformations of InhA differing in the orientation of the active site Tyr158. The resulting hits were filtered for drug-likeness based on Lipinski's rule and avoidance of PAINS-like properties and finally subjected to Glide XP docking to improve accuracy. Sixteen compounds were identified and selected for in vitro biological assays, of which two (compounds 1 and 7) showed MIC of 12.5 and 25 µg/mL against M. tuberculosis H37Rv, respectively. Inhibition assays against purified recombinant InhA determined IC50 values for these compounds of 0.38 and 0.22 µM, respectively. A crystal structure of the most potent compound, compound 7, bound to InhA revealed the inhibitor to occupy a hydrophobic pocket implicated in binding the aliphatic portions of InhA substrates but distant from the NADH cofactor, i.e., in a site distinct from those occupied by the great majority of known InhA inhibitors. This compound provides an attractive starting template for ligand optimization aimed at discovery of new and effective compounds against M. tuberculosis that act by targeting InhA.

Specific interactions between 2-trans enoyl-acyl carrier protein reductase and its ligand: Protein-ligand docking and ab initio fragment molecular orbital calculations.

2-trans enoyl-acyl carrier protein reductase (InhA) has been identified as a promising target for the development of novel chemotherapy for tuberculosis. In the present study, a series of heteroaryl benzamide derivatives were selected as potent inhibitors against InhA, and their binding properties with InhA were investigated at atomic and electronic levels by ab initio molecular simulations based on protein-ligand docking, classical molecular mechanics optimizations and ab initio fragment molecular orbital (FMO) calculations. The results evaluated by FMO highlight some key interactions between InhA and the derivatives, indicating that the most potent derivative has strong hydrogen bonds with the Met98 side chain of InhA and strong electrostatic interactions with the nicotinamide adenine dinucleotide cofactor. These findings provide informative structural concepts for designing novel heteroaryl benzamide derivatives with higher binding affinity to InhA.