Discovery of novel inhibitors targeting Plasmodium knowlesi dihydrofolate reductase using molecular docking and molecular dynamics simulation.

Manoj Kumar Yadav, Manish Kumar Tripathi, Srishti Yadav

Microbial pathogenesis 2021 Dec

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Plasmodium knowlesi, recognized as the fifth Plasmodium parasite, is the least studied malaria parasite. It is a significant cause of morbidity and mortality in the South-East Asia region. Enzymes of folate synthesis, especially dihydrofolate reductase (DHFR), is a well-approved drug target in other Plasmodium species, but its role in Plasmodium knowlesi is poorly studied. This work characterizes PkDHFR as a drug target and identifies inhibitors that can withstand the upcoming problem of resistance. The 3D structure of the PkDHFR target is modelled using comparative modelling, and further, it is refined and validated using energy minimization and torsional angle analysis methods. We extracted 13 compounds from DrugBank and ZINC databases using the "target similarity search" criteria. These compounds were categorized based on their binding affinity (-4.49 to -10.08 kcal/mol) and pose prediction against the active site of PkDHFR. Later on, the top 5 PkDHFR-compound complexes with high or equivalent binding affinity to its natural ligand (dihydrofolate) have undergone for dynamics. The simulation experiments reveal the higher stability of DB00563-PkDHFR complex and less conformational fluctuations and share a similar degree of compactness throughout the simulation trajectory. The MM/GBSA calculation of free energy of DB00563 is also the least (-72.84 kcal/mol) compared to others. Furthermore, the flexible side chain of DB00563 can bind and block the active site of PkDHFR more efficiently. Thus, the identified drug may be considered as a potential candidate for treating P. knowlesi malaria. Copyright © 2021 Elsevier Ltd. All rights reserved.

Citation

Manoj Kumar Yadav, Manish Kumar Tripathi, Srishti Yadav. Discovery of novel inhibitors targeting Plasmodium knowlesi dihydrofolate reductase using molecular docking and molecular dynamics simulation. Microbial pathogenesis. 2021 Dec;161(Pt A):105214