Peptomer substrates for quantitative pattern-recognition sensing of proteases
Peptomer substrates for quantitative pattern-recognition sensing of proteases
复制标题
DOI：
10.1039/d2cc06587h
复制
发表时间：
2023-01-17
影响因子：
4.9
通讯作者：
Rosales，Adrianne M. M.
中科院分区：
文献类型：
--
作者：
Austin，Mariah J. J.;Schunk，Hattie C. C.;Rosales，Adrianne M. M.
活性蛋白酶作为生物标志物的效用通常受到重叠底物特异性的限制。在这里，这个功能是利用开发一个定量模式识别传感系统驱动的肽类肽杂交底物的降解模式，分类蛋白酶和估计其浓度的多变量数据分析。
The utility of active proteases as biomarkers is often limited by overlapping substrate specificity. Here, this feature is leveraged to develop a quantitative pattern-recognition sensing system driven by the degradation patterns of peptide–peptoid hybrid substrates to classify proteases and estimate their concentration by multivariate data analysis.