Computational multi-target approach to target essential enzymes of Leishmania donovani using comparative molecular dynamic simulations and MMPBSA analysis

IntroductionVisceral leishmaniasis (VL) is caused by Leishmania donovani. The purine and pyrimidine pathways are essential for L. donovani. Simultaneously inhibiting multiple targets could be an effective strategy to eliminate the pathogen and treat VL. ObjectiveWe aimed to target the essential enzymes of L. donovani and inhibit them using a multi-target approach. Materials and methodsA systematic analytical method was followed, in which first reported inhibitors of two essential enzymes (adenine phosphoribosyl-transferase [APRT] and dihydroorotate dehydrogenase [DHODH]) were collected and then ADMET and PASS analyses were conducted using the Lipinski rule and Veber's rule. Additionally, molecular docking between screened ligands and proteins were performed. The stability of complexes was analyzed using molecular dynamics (MD) simulations and MMPBSA analysis. ResultsInitially, 6,220 unique molecules were collected from the PubChem database, and then the Lipinski rule and Veber's rule were used for screening. In total, 203 compounds passed the ADMET test; their antileishmanial properties were tested by PASS analysis. As a result, 15 ligands were identified. Molecular docking simulations between APRT or DHODH and these 15 ligands were performed. Four molecules were found to be plant-derived compounds. Lig_2 and Lig_3 had good docking scores with both proteins. MD simulations were performed to determine the dynamic behavior and binding patterns of complexes. Both MD simulations and MMPBSA analysis showed Lig_3 is a promising antileishmanial inhibitor of both targets. ConclusionPromising plant-derived compounds that might be used to combat VL were obtained through a multi-target approach.

Automated summary

This study aimed to find effective inhibitors of Leishmania donovani using a multi-target approach. First, inhibitors of two key enzymes were collected and screened using drug metabolism and effectiveness analysis. 15 potential inhibitors were identified through molecular docking simulations and molecular dynamics analysis. One plant-derived compound (Lig_3) showed promising inhibitory effects on both targets.