Computational Approach for the Analysis of Post-PKS Glycosylation Step.

Kim,  Ki Bong; Park,  Kiejung

doi:2008.6.4.223

Genomics Inform > Volume 6(4); 2008 > Article

Original Article

Genomics & Informatics 2008;6(4): 223-226.

DOI: https://doi.org/10.5808/gi.2008.6.4.223

Computational Approach for the Analysis of Post-PKS Glycosylation Step.

Ki Bong Kim, Kiejung Park

¹Department of Bioinformatics Engineering, Sangmyung University, Cheonan 330-720, Korea. kbkim@smu.ac.kr
²SmallSoft Co., Deajeon 305-728, Korea.

Abstract

We introduce a computational approach for analysis of glycosylation in Post-PKS tailoring steps. It is a computational method to predict the deoxysugar biosynthesis unit pathway and the substrate specificity of glycosyltransferases involved in the glycosylation of polyketides. In this work, a directed and weighted graph is introduced to represent and predict the deoxysugar biosynthesis unit pathway. In addition, a homology based gene clustering method is used to predict the substrate specificity of glycosyltransferases. It is useful for the rational design of polyketide natural products, which leads to in silico drug discovery.

Keywords: glycosylation; post-PKS tailoring step; glycosyltransferase; deoxysugar biosynthesis unit pathway