Skip to main content
SpringerLink
Log in

Study on Protein Structure Based on Reverse Hamilton Path Models

  • Conference paper
  • First Online:
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

  • 793 Accesses

Abstract

We present a new method for studying protein structure based on reverse Hamilton path models. A protein conformation with n sequences is changed to a weighted completely graph K n . The reverse minimum Hamilton path in this graph matches the protein reverse sequence and n is positive proportion to length of reversed Hamilton path. The time of finding a reverse minimum Hamilton path grows quickly when n rise.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Sanger F, Tuppy H (1951) The amino acid sequence of the phenylalanyl chain of insulin. Biochemical J 49(3):481–490

    Article  Google Scholar 

  2. Anfinsen CB, Haber E, Sela M et al (1961) The kinetics of the formation of native ribo nuclease during oxidation of the reduced polypeptide chain. Proc Natl Acad Sci USA 47(9):1309–1314

    Article  Google Scholar 

  3. Yan L,Sun Z (1999) protein molecular structure. Peking University Press, Beijing, pp 2–3

    Google Scholar 

  4. Chou KC (1995) A novel approach to predicting protein structure classes in a amino acid composition space. Proteins 21:319–344

    Google Scholar 

  5. Shi X, Liu W et al (2005) Study the protein structure prediction based on the graph theory. Biol Technol 15(5):89–92

    Google Scholar 

  6. Gromiha M, Thangakani M, Selvaraj S (2006) Fold-rate: prediction of protein folding rates from amino acid sequence. Nucleic Acids Res 34(2):70–74

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Science, Xi’an Technological University, Xi’an, 710032, China

    Xiaohong Shi

Authors
  1. Xiaohong Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaohong Shi .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shi, X. (2013). Study on Protein Structure Based on Reverse Hamilton Path Models. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_75

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37502-6_75

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation