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Medicinal Research Reviews
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Conference object . 2023
License: CC BY
Data sources: PubMed Central
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Chemo‐proteomics in antimalarial target identification and engagement

Authors: Brodie L. Bailey; William Nguyen; Alan F. Cowman; Brad E. Sleebs;

Chemo‐proteomics in antimalarial target identification and engagement

Abstract

AbstractHumans have lived in tenuous battle with malaria over millennia. Today, while much of the world is free of the disease, areas of South America, Asia, and Africa still wage this war with substantial impacts on their social and economic development. The threat of widespread resistance to all currently available antimalarial therapies continues to raise concern. Therefore, it is imperative that novel antimalarial chemotypes be developed to populate the pipeline going forward. Phenotypic screening has been responsible for the majority of the new chemotypes emerging in the past few decades. However, this can result in limited information on the molecular target of these compounds which may serve as an unknown variable complicating their progression into clinical development. Target identification and validation is a process that incorporates techniques from a range of different disciplines. Chemical biology and more specifically chemo‐proteomics have been heavily utilized for this purpose. This review provides an in‐depth summary of the application of chemo‐proteomics in antimalarial development. Here we focus particularly on the methodology, practicalities, merits, and limitations of designing these experiments. Together this provides learnings on the future use of chemo‐proteomics in antimalarial development.

Keywords

Proteomics, Antimalarials, Drug Resistance, Humans, Folic Acid Antagonists, Review Articles, Malaria

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green
hybrid