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Publication Abstract from PubMed

The exploitation of catalytic promiscuity and the application of de novo design have recently opened the access to novel, non-natural enzymatic activities. Here we describe a structural bioinformatic method for predicting catalytic activities of enzymes based on three-dimensional constellations of functional groups in active sites ('catalophores'). As a proof-of-concept we identify two enzymes with predicted promiscuous ene-reductase activity (reduction of activated C-C double bonds) and compare them with known ene-reductases, that is, members of the Old Yellow Enzyme family. Despite completely different amino acid sequences, overall structures and protein folds, high-resolution crystal structures reveal equivalent binding modes of typical Old Yellow Enzyme substrates and ligands. Biochemical and biocatalytic data show that the two enzymes indeed possess ene-reductase activity and reveal an inverted stereopreference compared with Old Yellow Enzymes for some substrates. This method could thus be a tool for the identification of viable starting points for the development and engineering of novel biocatalysts.

Identification of promiscuous ene-reductase activity by mining structural databases using active site constellations.,Steinkellner G, Gruber CC, Pavkov-Keller T, Binter A, Steiner K, Winkler C, Lyskowski A, Schwamberger O, Oberer M, Schwab H, Faber K, Macheroux P, Gruber K Nat Commun. 2014 Jun 23;5:4150. doi: 10.1038/ncomms5150. PMID:24954722^[1]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.