Design and synthesis of thiourea-based derivatives as Mycobacterium tuberculosis growth and enoyl acyl carrier protein reductase (InhA) inhibitors
Doğan ŞD, Gündüz MG, Doğan H, Krishna VS, Lherbet C, Sriram D
European journal of medicinal chemistry · 2020-05
Abstract
Tuberculosis remains the most deadly infectious disease worldwide due to the emergence of drug-resistant strains of Mycobacterium tuberculosis. Hence, there is a great need for more efficient treatment regimens. Herein, we carried out rational molecular modifications on the chemical structure of the urea-based co-crystallized ligand of enoyl acyl carrier protein reductase (InhA) (PDB code: 5OIL). Although this compound fulfills all structural requirements to interact with InhA, it does not inhibit the enzyme effectively. With the aim of improving the inhibition value, we synthesized thiourea-based derivatives by one-pot reaction of the amines with corresponding isothiocyanates. After the structural characterization using 1 H NMR, 13 C NMR, FTIR and HRMS, the obtained compounds were initially tested for their abilities to inhibit Mycobacterium tuberculosis growth. The results revealed that some compounds exhibited promising antitubercular activity, MIC values at 0.78 and 1.56 μg/mL, combined with low cytotoxicity. Moreover, the most active compounds were tested against latent as well as dormant forms of the bacteria utilizing nutrient starvation model and Mycobacterium tuberculosis infected macrophage assay. Enzyme inhibition assay against enoyl-acyl carrier protein reductase identified InhA as the important target of some compounds. Molecular docking studies were performed to correlate InhA inhibition data with in silico results. Finally, theoretical calculations were established to predict the physicochemical properties of the most active compounds.
MeSH terms
- Macrophages
- Animals
- Mice
- Mycobacterium tuberculosis
- Thiourea
- Oxidoreductases
- Bacterial Proteins
- Enzyme Inhibitors
- Antitubercular Agents
- Microbial Sensitivity Tests
- Cell Survival
- Molecular Structure
- Structure-Activity Relationship
- Dose-Response Relationship, Drug
- Drug Design
- Molecular Docking Simulation
- RAW 264.7 Cells