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#artificial intelligence Review Open access

New thinking for the next generation of antimalarials

Sep 2026 · EMBO Molecular Medicine · Vol 18, pp. 3883 - 3897 · 0 citations · 164 references
Medicine

Abstract

Despite decades of intensive research and substantial clinical gains, malaria remains a major global health challenge exacerbated by the continued emergence of drug-resistant strains of the causative agent, Plasmodium parasites. Encouragingly, recent advances in functional genomics, chemical biology and computational science are reshaping antimalarial drug discovery. In this review, we examine the discovery and development of next-generation antimalarials, including advances in phenotypic and target-based screening, omics-enabled target discovery and emerging therapeutic modalities such as long-acting agents, targeted covalent inhibitors and host-directed therapies. We further evaluate the opportunities and limitations of drug repurposing and discuss how artificial intelligence and data-driven approaches are reshaping target identification, compound optimisation and clinical development. Finally, we argue that future success will depend not only on scientific innovation but also on interdisciplinary collaboration, equitable partnerships, open science and the development of accessible therapies tailored to malaria-endemic populations. In this review, Kelly Chibale, John Woodland, Kathryn J. Wicht and colleagues discuss how functional genomics, chemical biology, artificial intelligence, and emerging therapeutic modalities are transforming antimalarial drug discovery and outline the scientific and collaborative strategies needed to deliver the next generation of accessible malaria therapies.

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