Skip to main content

Building a Parallel Between Structural and Topological Properties

  • Conference paper
  • First Online:
Advances in Computational Biology

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 680))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Diestel R (2000) Graph Theory. Princeton: Springer.

    Google Scholar 

  2. Dokholyan NV, Li L, Ding F, Shakhnovich EI (2002) Topological determinants of protein folding. Proc Natl Acad Sci USA. 99(13):8637–8641

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Omar Gaci .

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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

Publish with us

Policies and ethics