Antimicrobial Agents and Chemotherapy
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
Selective Inhibition of Plasmodium falciparum ATPase 6 by Artemisinins and Identification of New Classes of Inhibitors after Expression in Yeast
EC| NANOMAL ,
WT| Institutional Strategic Support Fund
Authors: Catherine M. Moore; Jigang Wang; Qingsong Lin; Pedro Ferreira; Mitchell A. Avery; Khaled Elokely; Henry M. Staines; +1 Authors
Catherine M. Moore; Jigang Wang; Qingsong Lin; Pedro Ferreira; Mitchell A. Avery; Khaled Elokely; Henry M. Staines; Sanjeev Krishna;
Selective Inhibition of Plasmodium falciparum ATPase 6 by Artemisinins and Identification of New Classes of Inhibitors after Expression in Yeast
Abstract
Treatment failures with artemisinin combination therapies (ACTs) threaten global efforts to eradicate malaria. They highlight the importance of identifying drug targets and new inhibitors and of studying how existing antimalarial classes work.
Related Organizations
- National University of Singapore Singapore
- Mississippi Institutions of Higher Learning United States
- St George's, University of London United Kingdom
- Nationl University of Singapore Singapore
- University of London United Kingdom
Keywords
Mammals, Plasmodium falciparum, Drug Resistance, Calcium-Transporting ATPases, Saccharomyces cerevisiae, Artemisinins, Antimalarials, Animals, Malaria, Falciparum, Mechanisms of Action: Physiological Effects
Mammals, Plasmodium falciparum, Drug Resistance, Calcium-Transporting ATPases, Saccharomyces cerevisiae, Artemisinins, Antimalarials, Animals, Malaria, Falciparum, Mechanisms of Action: Physiological Effects
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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
5
Top 10%
Average
Top 10%
Green
hybrid
