Abstract
Several research groups have attempted to classify glycosyltransferases using sequence similarities, e.g., the CAZy (Carbohydrate-Active enZYmes) database (Coutinho et al. 2003). However, the structural, functional, and evolutionary relationships of glycosyltransferases are still unknown. We classified 47 of the 60 families from the CAZy database into four superfamilies using the profile hidden Markov model (HMM) method to reveal relationships between structure and function in glycosyltransferases.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chantret I, Dancourt J, Barbat A, Moore SE (2005) Two proteins homologous to the N-and C-terminal domains of the bacterial glycosyltransferase Murg are required for the second step of dolichyl-linked oligosaccharide synthesis in Saccharomyces cerevisiae. J Biol Chem 280:9236–9242
Coutinho PM, Deleury E, Davies GJ, Henrissat B (2003) An evolving hierarchical family classification for glycosyltransferases. J Mol Biol 328:307–317
Ihara H, Ikeda Y, Toma S, Wang X, Suzuki T, Gu J, Miyoshi E, Tsukihara T, Honke K, Matsumoto A, Nakagawa A, Taniguchi N (2007) Crystal structure of mammalian {alpha}1,6-fucosyltransferase, FUT8. Glycobiology 17:455–466
Kikuchi N, Kwon Y-D, Gotoh M, Narimatsu H (2003) Comparison of glycosyltransferase families using the profile hidden Markov model. Biochem Biophys Res Commun 310:574–579
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer
About this chapter
Cite this chapter
Kikuchi, N. (2008). Comparison of Glycosyltransferase Families Using the Profile Hidden Markov Model. In: Taniguchi, N., Suzuki, A., Ito, Y., Narimatsu, H., Kawasaki, T., Hase, S. (eds) Experimental Glycoscience. Springer, Tokyo. https://doi.org/10.1007/978-4-431-77922-3_2
Download citation
DOI: https://doi.org/10.1007/978-4-431-77922-3_2
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-77921-6
Online ISBN: 978-4-431-77922-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)