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A label-free MALDI TOF MS-based method for studying the kinetics and inhibitor screening of the Alzheimer’s disease drug target β-secretase

Overview of attention for article published in Analytical & Bioanalytical Chemistry, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Citations

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22 Mendeley
Title
A label-free MALDI TOF MS-based method for studying the kinetics and inhibitor screening of the Alzheimer’s disease drug target β-secretase
Published in
Analytical & Bioanalytical Chemistry, September 2018
DOI 10.1007/s00216-018-1354-6
Pubmed ID
Authors

Markéta Machálková, Jan Schejbal, Zdeněk Glatz, Jan Preisler

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF MS) is a well-established method with a unique set of qualities including sensitivity, minute sample consumption, and label-free detection, all of which are highly desired in enzyme assays. On the other hand, the application of MALDI TOF MS is usually limited by high concentrations of MS-incompatible compounds in the reaction mixture such as salts or organic solvents. Here, we introduce kinetic and inhibition studies of β-secretase (BACE1), a key enzyme of the progression of Alzheimer's disease. Compatibility of the enzyme assay with MALDI TOF MS was achieved, providing both a complex protocol including a desalting step designed for rigorous kinetic studies and a simple mix-and-measure protocol designed for high-throughput inhibitor screening. In comparison with fluorescent or colorimetric assays, MALDI TOF MS represents a sensitive, fast, and label-free technique with minimal sample preparation. In contrast to other MS-based methodological approaches typically used in drug discovery processes, such as a direct injection MS or MS-coupled liquid chromatography or capillary electrophoresis, MALDI TOF MS enables direct analysis and is a highly suitable approach for high-throughput screening. The method's applicability is strongly supported by the high correlation of the acquired kinetic and inhibition parameters with data from the literature as well as from our previous research. Graphical abstract ᅟ.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Researcher 4 18%
Professor 2 9%
Lecturer 1 5%
Student > Ph. D. Student 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Pharmacology, Toxicology and Pharmaceutical Science 3 14%
Chemistry 3 14%
Environmental Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 3 14%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 November 2018.
All research outputs
#2,722,893
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#218
of 9,619 outputs
Outputs of similar age
#54,376
of 348,472 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#3
of 153 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% 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 348,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.