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Screening a protein kinase inhibitor library against Plasmodium falciparum

Overview of attention for article published in Malaria Journal, November 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Screening a protein kinase inhibitor library against Plasmodium falciparum
Published in
Malaria Journal, November 2017
DOI 10.1186/s12936-017-2085-4
Pubmed ID
Authors

Irene Hallyburton, Raffaella Grimaldi, Andrew Woodland, Beatriz Baragaña, Torsten Luksch, Daniel Spinks, Daniel James, Didier Leroy, David Waterson, Alan H. Fairlamb, Paul G. Wyatt, Ian H. Gilbert, Julie A. Frearson

Abstract

Protein kinases have been shown to be key drug targets, especially in the area of oncology. It is of interest to explore the possibilities of protein kinases as a potential target class in Plasmodium spp., the causative agents of malaria. However, protein kinase biology in malaria is still being investigated. Therefore, rather than assaying against individual protein kinases, a library of 4731 compounds with protein kinase inhibitor-like scaffolds was screened against the causative parasite, Plasmodium falciparum. This approach is more holistic and considers the whole kinome, making it possible to identify compounds that inhibit more than one P. falciparum protein kinase, or indeed other malaria targets. As a result of this screen, 9 active compound series were identified; further validation was carried out on 4 of these series, with 3 being progressed into hits to lead chemistry. The detailed evaluation of one of these series is described. This screening approach proved to be an effective way to identify series for further optimisation against malaria. Compound optimisation was carried out in the absence of knowledge of the molecular target. Some of the series had to be halted for various reasons. Mode of action studies to find the molecular target may be useful when problems prevent further chemical optimisation. Progressible series were identified through phenotypic screening of a relatively small focused kinase scaffold chemical library.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 7 14%
Student > Bachelor 6 12%
Other 4 8%
Student > Master 4 8%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 24%
Chemistry 11 22%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Agricultural and Biological Sciences 3 6%
Immunology and Microbiology 3 6%
Other 5 10%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2017.
All research outputs
#7,059,584
of 24,823,556 outputs
Outputs from Malaria Journal
#1,845
of 5,813 outputs
Outputs of similar age
#109,768
of 337,787 outputs
Outputs of similar age from Malaria Journal
#31
of 110 outputs
Altmetric has tracked 24,823,556 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,787 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.