Roles of virtual screening and molecular dynamics simulations in discovering and understanding antimalarial drugs

College

College of Science

Department/Unit

Chemistry

Document Type

Article

Source Title

International Journal of Molecular Sciences

Volume

24

Issue

9289

Publication Date

2023

Abstract

Malaria continues to be a global health threat, with approximately 247 million cases worldwide. Despite therapeutic interventions being available, patient compliance is a problem due to the length of treatment. Moreover, drug-resistant strains have emerged over the years, necessitating urgent identification of novel and more potent treatments. Given that traditional drug discovery often requires a great deal of time and resources, most drug discovery efforts now use computational methods. In silico techniques such as quantitative structure-activity relationship (QSAR), docking, and molecular dynamics (MD) can be used to study protein-ligand interactions and determine the potency and safety profile of a set of candidate compounds to help prioritize those tested using assays and animal models. This paper provides an overview of antimalarial drug discovery and the application of computational methods in identifying candidate inhibitors and elucidating their potential mechanisms of action. We conclude with the continued challenges and future perspectives in the field of antimalarial drug discovery.

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Digitial Object Identifier (DOI)

https://doi.org/10.3390/ijms24119289

Disciplines

Chemicals and Drugs

Keywords

Malaria; Malaria—Chemotherapy; Antimalarials

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