A Graph-Theoretic Model Based on Primary and Predicted Secondary Structure Reveals Functional Specificity in a Set of Plant Secondary Product UDP-Glucosyltransferases
Document Type
Conference Proceeding
Publication Date
12-1-2009
Description
Plant secondary product glucosyltransferases (GTs), specifically flavonoid GTs, are being used as the model proteins. These GTs catalyze transfer of glucose from UDP-glucose to a wide variety of secondary metabolites. Although primary structure information is available for many putative GTs through genomic and proteomic databases, a direct biochemical link between structure and function exists for only subset of the proteins. In this work we utilize the primary sequences and predicted secondary structures of a set of GTs to build several graph-theoretic models of each GT. We determine graphical invariants and utilize them as descriptors of the biomolecules. Statistical analysis of the descriptors reveals additional information regarding substrate specificity.
Citation Information
Knisley, Debra; Seier, Edith; Lamb, Daniel; Owens, Daniel; and Mcintosh, Cecelia. 2009. A Graph-Theoretic Model Based on Primary and Predicted Secondary Structure Reveals Functional Specificity in a Set of Plant Secondary Product UDP-Glucosyltransferases. International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009. 65-72. ISBN: 9781615676538