Abstract
Computational techniques in prediction of protein-sugar (carbohydrate) interactions are required for the current biological studies. Although this field of bioinformatics is still immature as compared with that of protein-protein or protein-nucleic acid interactions, several methods have been developed as prompted by the increasing requirements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Julenius K et al (2005) Prediction, conservation analysis, and structural characterization of mammalian mucin-type O-glycosylation sites. Glycobiology 15:153–164
Laederach A, Reilly PJ (2003) Specific empirical free energy function for automated docking of carbohydrates to proteins. J Comput Chem 24:1748–1757
Malik A, Ahmad S (2007) Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network. BMC Struct Biol 7:1
Johansen MB et al (2006) Analysis and prediction of mammalian protein glycation. Glycobiology 16:844–853
Neumann D et al (2002) Lectin-sugar interaction calculated versus experimental binding energies. Eur J Biochem 269:1518–1524
Shionyu-Mitsuyama C et al (2003) An empirical approach for structure-based prediction of carbohydrate-binding sites on proteins. Protein Eng 16:467–478
Taroni C et al (2000) Analysis and prediction of carbohydrate binding sites. Protein Eng 13:89–98
Yang ZR, Chou KC (2004) Predicting the linkage sites in glycoproteins using bio-basis function neural network. Bioinformatics 20:903–908
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer
About this chapter
Cite this chapter
Shirai, T. (2008). Prediction of Sugar-Binding Sites on Proteins. In: Taniguchi, N., Suzuki, A., Ito, Y., Narimatsu, H., Kawasaki, T., Hase, S. (eds) Experimental Glycoscience. Springer, Tokyo. https://doi.org/10.1007/978-4-431-77924-7_30
Download citation
DOI: https://doi.org/10.1007/978-4-431-77924-7_30
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-77923-0
Online ISBN: 978-4-431-77924-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)