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Review
. 2021 Jun;37(6):493-507.
doi: 10.1016/j.pt.2021.01.009. Epub 2021 Feb 26.

MalDA, Accelerating Malaria Drug Discovery

Affiliations
Review

MalDA, Accelerating Malaria Drug Discovery

Tuo Yang et al. Trends Parasitol. 2021 Jun.

Abstract

The Malaria Drug Accelerator (MalDA) is a consortium of 15 leading scientific laboratories. The aim of MalDA is to improve and accelerate the early antimalarial drug discovery process by identifying new, essential, druggable targets. In addition, it seeks to produce early lead inhibitors that may be advanced into drug candidates suitable for preclinical development and subsequent clinical testing in humans. By sharing resources, including expertise, knowledge, materials, and reagents, the consortium strives to eliminate the structural barriers often encountered in the drug discovery process. Here we discuss the mission of the consortium and its scientific achievements, including the identification of new chemically and biologically validated targets, as well as future scientific directions.

Keywords: MalDA; Plasmodium falciparum; drug resistance; malaria; target-based drug discovery.

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Conflict of interest statement

Declaration of Interests K.J.D. holds stock in TropIQ Health Sciences. Other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1.
Figure 1.. Overview of MalDA (Malaria Drug Accelerator).
MalDA is a consortium of 15 scientific laboratories (B), working in the earliest stages of drug discovery. By collaborating and sharing compounds and resources, MalDA can achieve milestones quickly and efficiently (A). Abbreviations: BMGF, Bill and Melinda Gates Foundation; Calibr, California Institute for Biomedical Research; CUIMC, Columbia University Irving Medical Center; DDU, Drug discovery unit – University of Dundee; GHDDI, Global Health Drug Discovery Institute; GSK, GlaxoSmithKline; Harvard Chan, Harvard T.H. Chan School of Public Health; HTS, High-throughput screening; IVIEWGA, in vitro evolution and whole-genome analysis; MIT, Massachusetts Institute of Technology; MMV, Medicines for Malaria Venture; Penn State, The Pennsylvania State University; SDDC, Structure-guided Drug Discovery Coalition; TropIQ, TropIQ Health Sciences; UCSD, University of California San Diego; UCT, University of Cape Town; WGS, Whole-genome sequencing; WUSTL, Washington University in St Louis.
Figure 2.
Figure 2.. Overview of MalDA (Malaria Drug Accelerator) Pipeline for the Discovery of Novel Antimalarials.
Phenotypic drug discovery includes screening compound libraries against blood- and liver-stage Plasmodium parasites (A). The first steps to identify the target of an active hit compound utilize in vitro evolution and whole-genome analysis (IVIEWGA), metabolomics, chemoproteomics, and chemoinformatics approaches, followed by target validation via genetic and chemical approaches (B). Genetic validation uses clustered regularly interspaced short palindromic repeats/Cas9 (CRISPR/Cas9) to reconstitute the resistant alleles found in IVIEWGA experiments. In conditional knockdown (KD) experiments, parasites are subjected to compound challenges to probe for dose–response changes (chemical validation and vulnerability assessment) and confirm compound hypersensitivity through diminished target expression (B). Validated targets can be rescreened for additional specific inhibitors using, for example, DNA-encoded libraries or target-specific libraries (C). Active compounds from phenotypic screening assays can also be directed to hit-to-lead development to be optimized for enhanced pharmaceutical properties. The resulting lead compounds are further examined in the in vitro assays against different malaria parasite developmental cycles and in vivo efficacy and pharmacokinetic/pharmacodynamics (PK/PD) studies in Plasmodium falciparum severe combined immunodeficiency (SCID) or NSG mouse models (D).
Figure I.
Figure I.. Plasmodium Life Cycle and Points for Intervention.
Abbreviation: TCP, target candidate profile.

References

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