title: Classifying enzymes from selectivity fingerprints.
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.
authors.affiliation: Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.
authors.forename: Johann
authors.initials: J
authors.lastname: Grognux
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Reymond
mesh_terms: D016000:Cluster Analysis; D004950:Esterases / Q000145:classification* / Q000235:genetics / Q000378:metabolism; D004952:Esters / Q000737:chemistry; D005227:Fatty Acids / Q000737:chemistry*; D005453:Fluorescence; D020869:Gene Expression Profiling; D008049:Lipase / Q000145:classification* / Q000235:genetics / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis
chemical_list: D004952:Esters; D005227:Fatty Acids; D004950:Esterases; D008049:Lipase