Abstract
One of the big challenges in genomics is to obtain information related to protein function. Computational methods that allow fast and accurate determination are needed. We present here the application of a statistical analysis coupled with THEMATICS that allows the fast identification of functional sites in proteins. The method is amenable for automation and thus for the purpose of high throughput analysis. We show the detailed analysis of two proteins and a summary of the application of the method to a set of 15 proteins with diverse functions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Murga, L.F., Ko, J., Wei, Y., Ondrechen, M.J. (2006). Central Moments Based Statistical Analysis for the Determination of Functional Sites in Proteins with Thematics. In: Kolchanov, N., Hofestaedt, R., Milanesi, L. (eds) Bioinformatics of Genome Regulation and Structure II. Springer, Boston, MA. https://doi.org/10.1007/0-387-29455-4_22
Download citation
DOI: https://doi.org/10.1007/0-387-29455-4_22
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-29450-6
Online ISBN: 978-0-387-29455-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)