This systematic review demonstrates improved drug development in malaria using molecular techniques and machine learning, highlighting challenges in clinical application.
Multiomics, docking and ML integration improve the target identification and prioritise the compounds. This review illustrates the great potential of molecular techniques for the development of drugs against antimalarial helicases that are not resistant to drug therapy. However, in vivo data holes and methodology inconsistency limit clinical translation. Future work should include standardisation of protocols and studies of synergistic combinations of phytochemicals.
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Dangana et al. (2026) studied this question.
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