2014
DOI: 10.1002/anie.201408256
|View full text |Cite
|
Sign up to set email alerts
|

Differential Sensing of MAP Kinases Using SOX‐Peptides

Abstract: Five SOX peptides are used to classify the MAPK groups and isoforms thereof using chemometrics. The score plots show excellent classification and accuracy, while support vector machine analysis leads to the quantification of ERK and an ERK inhibitor concentration in kinase mixtures. Examination of the loading plots reveals cross-reactivity among the peptides, and some unexpected surprises.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
41
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(43 citation statements)
references
References 47 publications
2
41
0
Order By: Relevance
“…[1][2][3][4][5][6] The development of "smart" noninvasive imaging reagents for the determination of specific enzyme activity in vivo is critically required for cancer diagnosis. [7][8][9][10][11][12][13][14][15] However, during the onset and progression of cancer, the dynamic living system complexity makes it difficult to track and visualize in vivo enzyme activity. As a typical enzyme, β-galactosidase (β-gal) has been demonstrated as an important biomarker for cell senescence and primary ovarian cancers.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5][6] The development of "smart" noninvasive imaging reagents for the determination of specific enzyme activity in vivo is critically required for cancer diagnosis. [7][8][9][10][11][12][13][14][15] However, during the onset and progression of cancer, the dynamic living system complexity makes it difficult to track and visualize in vivo enzyme activity. As a typical enzyme, β-galactosidase (β-gal) has been demonstrated as an important biomarker for cell senescence and primary ovarian cancers.…”
Section: Introductionmentioning
confidence: 99%
“…Synthetic versions of such at ongue can be fairly primitive and just consist of ac ollection of dyes, for example. Anslyn et al, [4,5] Suslick et al, [6][7][8] Rotello et al [9][10][11] and other groups [12] have developed sensor fields that can be used to identify legionso fa nalytes. As ubset of such chemical tongues consistso fe lectrostatic complexes of af luorophore and aq uencher.A ne xample are the goldnanoparticle/PPE constructs by Rotello and ourselves.…”
mentioning
confidence: 99%
“…Therefore, as in many other biochemical assays, the concentration of recognition elements, buffer, temperature, and measurement time should be constant during measurements. The use of regression analysis based on machine-learning techniques enables the quantitative identification of the compositions of analytes based on training data [ 53 ] and can therefore be applied to analytes of unknown concentration(s).…”
Section: Resultsmentioning
confidence: 99%