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Knipholone is an antiplasmodial phytocompound obtained from the roots of  Kniphofia foliosa . Despite several available studies, the molecular drug targets of knipholone in  P. falciparum  remained unknown. Nowadays,  in silico  techniques are widely used to study the molecular interactions between compounds and proteins as they provide results quickly with high precision and accuracy. In this study, we aim to identify the potential molecular drug targets of knipholone in  P. falciparum . We selected 10 proteins of  P. falciparum  with unique metabolic functions and we found that knipholone showed better binding affinity than the native ligands of 6 proteins. Out of the 6 proteins, knipholone showed better enzyme inhibitory potential than the native ligands of 4 proteins. We carried out a 100 ns MD simulations for knipholone and the native ligands of four proteins and this was followed by binding free energy calculations. In each step, the performance of knipholone was compared to the native ligands of the proteins. Knipholone outperformed the native ligand of Glutathione-S-Transferase (1OKT) at crucial computational studies as evidence from the lower protein–ligand root mean square deviation value, protein root mean square fluctuation value, and protein–ligand binding free energies. The ligand properties of knipholone provide additional evidence for its stability and it maintains adequate protein–ligand contacts during the entire simulation. The density functional theory study also supported the stability of knipholone at the active binding site of 1OKT. From the studied proteins, we conclude that Glutathione-S-Transferase is the most favorable drug target for knipholone in  P. falciparum . Communicated by Ramaswamy H. Sarma

Multi-target molecular dynamic simulations reveal glutathione-S-transferase as the most favorable drug target of knipholone in Plasmodium falciparum