Abstract
In this chapter, we study the amino acid interaction networks. An amino acid interaction network is a graph whose vertices are the protein’s amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. Some of them are common to all proteins, while others depend on the structure arrangement. We rely on the latter group of properties to illustrate the correlation between structural and topological properties. Then, we propose a topological space where proteins from a same family tend to be grouped.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Diestel R (2000) Graph Theory. Princeton: Springer.
Dokholyan NV, Li L, Ding F, Shakhnovich EI (2002) Topological determinants of protein folding. Proc Natl Acad Sci USA. 99(13):8637–8641
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this paper
Cite this paper
Gaci, O. (2010). Building a Parallel Between Structural and Topological Properties. In: Arabnia, H. (eds) Advances in Computational Biology. Advances in Experimental Medicine and Biology, vol 680. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5913-3_28
Download citation
DOI: https://doi.org/10.1007/978-1-4419-5913-3_28
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-5912-6
Online ISBN: 978-1-4419-5913-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)