Abstract

Trypanothione reductase of Leishmania donovani is a flavin adenine dinucleotide containing homodimeric protein essential for parasite survival. The flavoenzyme utilizes nicotinamide adenine dinucleotide phosphate in the reaction to convert oxidized trypanothione to reduced trypanothione which is further used up by tryparedoxin/tryparedoxin peroxidase system to neutralize the reactive oxygen species generated by the macrophages. Some of the drugs previously reported against the disease include sodium stibogluconate, miltefosine and amphotericin B. However, due to the resistance and toxicity problem associated with these molecules, there is an urgent need to develop new drugs against L. donovani. Trypanothione reductase of L. donovani is one such essential target whose inhibition could lead to a decline in parasite growth. In this work, we have performed a computational studies using Maybridge library of chemical compounds to identify potential inhibitors of Trypanothione reductase of L. donovani. Structure-based virtual screening method in combination with molecular docking was employed to identify and prioritize 30 compounds which were further subjected to molecular dynamics simulation. Ten compounds which showed stable ligand root-mean-square deviation plot, c-alpha backbone and root-mean-square fluctuation were considered for trypanothione reductase inhibition assay and subsequent inhibition studies of parasite growth. Enzyme inhibition assay resulted in shortlisting of four compounds that were found to inhibit Trypanothione reductase of L. donovani. Subsequently, the anti-leishmanial screening highlighted one compound as the potential anti-leishmanial agent, with IC₅₀ value of 15.2 µM, that can be further optimised with medicinal chemistry efforts to improve its activity.

Communicated by Ramaswamy H. Sarma