Classifying enzymes from selectivity fingerprints

被引:39
作者
Grognux, J [1 ]
Reymond, JL [1 ]
机构
[1] Univ Bern, Dept Chem & Biochem, CH-3012 Bern, Switzerland
关键词
activity profiles; cluster analysis; enzymes; fingerprints; fluorescent probes;
D O I
10.1002/cbic.200300779
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Fingerprints of lipases and esterases have been recorded by using on array of chiral fluorogenic aliphatic esters of increasing chain length (C-4-C-16) Classification of the enzyme series was carried out with selectivity data by clustering and principal component analysis (PCA). Enzymes were classified on the basis of selectivity for chain length (C-4-C-6 vs, C-10-C-16) and of middle-chain-length (C-8-C-10) reactivity. A minimum set of nine substrates was defined by cluster analysis of relative reactivities of each substrate for the different enzymes. This selectivity-based analysis is general. It does not require a common reference substrate to react with all enzymes or vice versa, and is independent of knowing the exact concentration of active protein in the enzyme samples.
引用
收藏
页码:826 / 831
页数:6
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