Discovery of novel and potent InhA inhibitors by an <i>in silico</i> screening and pharmacokinetic prediction
Hanwarinroj C, Phusi N, Kamsri B, Kamsri P, Punkvang A, Ketrat S, Saparpakorn P, Hannongbua S, et al. (13 authors)
Future medicinal chemistry · 2022-04
Abstract
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.
MeSH terms
- Mycobacterium tuberculosis
- Bacterial Proteins
- Antitubercular Agents
- Binding Sites
- Molecular Dynamics Simulation
- Molecular Docking Simulation