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Classifying Enzymes from Selectivity Fingerprints
Author(s) -
Grognux Johann,
Reymond JeanLouis
Publication year - 2004
Publication title -
chembiochem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.05
H-Index - 126
eISSN - 1439-7633
pISSN - 1439-4227
DOI - 10.1002/cbic.200300779
Subject(s) - selectivity , chemistry , enzyme , computational biology , biochemistry , combinatorial chemistry , stereochemistry , biology , catalysis
Abstract Fingerprints of lipases and esterases have been recorded by using an 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.