Structural model of Dex protein from Penicillium minioluteum and its implications in the mechanism of catalysis

Microbial dextran-hydrolyzing enzymes: fundamentals and applications

Dextran is a chemically and physically complex polymer, breakdown of which is carried out by a variety of endo- and exodextranases. Enzymes in many groups can be classified as dextranases according to function: such enzymes include dextranhydrolases, glucodextranases, exoisomaltohydrolases, exoisomaltotriohydrases, and branched-dextran exo-1,2-alpha-glucosidases. Cycloisomalto-oligosaccharide glucanotransferase does not formally belong to the dextranases even though its side reaction produces hydrolyzed dextrans. A new classification system for glycosylhydrolases and glycosyltransferases, which is based on amino acid sequence similarities, divides the dextranases into five families. However, this classification is still incomplete since sequence information is missing for many of the enzymes that have been biochemically characterized as dextranases. Dextran-degrading enzymes have been isolated from a wide range of microorganisms. The major characteristics of these enzymes, the methods for analyzing their activities and biological roles, analysis of primary sequence data, and three-dimensional structures of dextranases have been dealt with in this review. Dextranases are promising for future use in various scientific and biotechnological applications.

A neural network approach to evaluate fold recognition results

Fold recognition techniques assist the exploration of protein structures, and web-based servers are part of the standard set of tools used in the analysis of biochemical problems. Despite their success, current methods are only able to predict the correct fold in a relatively small number of cases. We propose an approach that improves the selection of correct folds from among the results of two methods implemented as web servers (SAMT99 and 3DPSSM). Our approach is based on the training of a system of neural networks with models generated by the servers and a set of associated characteristics such as the quality of the sequence-structure alignment, distribution of sequence features (sequence-conserved positions and apolar residues), and compactness of the resulting models. Our results show that it is possible to detect adequate folds to model 80% of the sequences with a high level of confidence. The improvements achieved by taking into account sequence characteristics open the door to future improvements by directly including such factors in the step of model generation. This approach has been implemented as an automatic system LIBELLULA, available as a public web server at http://www.pdg.cnb.uam.es/servers/libellula.html.

Beta-helical catalytic domains in glycoside hydrolase families 49, 55 and 87: domain architecture, modelling and assignment of catalytic residues

X-ray crystallography and bioinformatics studies reveal a tendency for the right-handed beta-helix domain architecture to be associated with carbohydrate binding proteins. Here we demonstrate the presence of catalytic beta-helix domains in glycoside hydrolase (GH) families 49, 55 and 87 and provide evidence for their sharing a common evolutionary ancestor with two structurally characterized GH families, numbers 28 and 82. This domain assignment helps assign catalytic residues to each family. Further analysis of domain architecture reveals the association of carbohydrate binding modules with catalytic GH beta-helices, as well as an unexpected pair of beta-helix domains in GH family 55.

Dextranase (alpha-1,6 glucan-6-glucanohydrolase) from Penicillium minioluteum expressed in Pichia pastoris: two host cells with minor differences in N-glycosylation

Differences in glycosylation between the natural alpha-1,6 glucan-6-glucanohydrolase from Penicillium minioluteum and the heterologous protein expressed in the yeast Pichia pastoris were analyzed. Glycosylation profiling was carried out using fluorophore-assisted carbohydrate electrophoresis and amine absorption high-performance liquid chromatography (NH(2)-HPLC) in combination with matrix-assisted laser desorption-time of flight-mass spectrometry. Both microorganisms produce only oligomannosidic type structures, but the oligosaccharide population differs in both enzymes. The native enzyme has mainly short oligosaccharide chains ranging from Man(5)GlcNAc(2) to Man(9)GlcNAc(2), of which Man(8)GlcNAc(2) was the most represented oligosaccharide. The oligosaccharides linked to the protein produced in P. pastoris range from Man(7)GlcNAc(2) up to Man(14)GlcNAc(2), with Man(8)GlcNAc(2) and Man(9)GlcNAc(2) being the most abundant structures. In both enzymes the first glycosylation site (Asn(5)) is always glycosylated. However, Asn(537) and Asn(540) are only partially glycosylated in an alternate manner.

Molecular cloning of an alpha-glucosidase-like gene from Penicillium minioluteum and structure prediction of its gene product

The dexC cDNA, which is expressed in dextran-containing medium by the filamentous fungus Penicillium minioluteum, was cloned and sequence characterized. The cDNA sequence comprises 1859 bp plus a poly (A) tail, coding for a predicted protein of 597 amino acids. The genomic counterpart was isolated by PCR, finding three introns in its sequence. The dexC gene was located by Southern blot in the same 9-kb fragment that the previously isolated dextranase-encoding gene (dexA). Sequence analysis revealed that the deduced DexC protein belongs to glycosyl hydrolase family 13, showing a high sequence identity (58%) with Aspergillus parasiticus alpha-1,6-glucosidase. In addition, the high sequence identity (51%) between DexC protein and oligo-1,6-glucosidase of Bacillus cereus, with three-dimensional (3D) structure determined, leads us to proposed a 3D model for the structural core of DexC protein.