Skip to main content

A Comparative Study of Methodologies of Protein Secondary Structure

  • Chapter
  • First Online:
Computational Intelligence Techniques for Comparative Genomics

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSFOMEBI))

Abstract

All living organisms are made up of cells and each cell in its turn consists of certain protein consequences which exercise an important role in catalyzing the chemical reactions. So, a study of a protein structure becomes a search lamp in the diagnosis of a disease. When the percent identity between two protein sequences falls below 33 %, it necessities to carry out the analysis of protein secondary structure. Of the several methodologies developed to analyze the protein secondary structure, two methods proved to be sound-dictionary of secondary structure of proteins (DSSP) and Garnier, Osguthrope and Robson (GOR), even though the prediction accuracy of GOR V is 73.5 % due to hazards in its implementation, GOR IV is generally used in spite of its accuracy being only to 64.4 %.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Frishman D, Argos P (1995) Knowledge-based protein secondary structure assignment. Proteins 23(4):566–579. doi:10.1002/prot.340230412 (PMID 8749853)

  2. Carter P, Andersen CA, Rost B (2003) DSSPcont: continuous secondary structure assignments for proteins. Nucleic Acids Res 31(13):3293–3295. doi:10.1093/nar/gkg626

    Article  Google Scholar 

  3. Kabsch W, Sander C (1983) Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 22(12):2577–2637. doi:10.1002/bip.360221211 (PMID 6667333)

  4. Nageswara Rao G, Allam Appa Rao A java based protein secondary structure prediction program

    Google Scholar 

  5. Sen TZ, Jernigan RL, Garnier J (2005) GOR V server for protein secondary structure prediction. France received on Feb 23, 2005; revised on Mar 21, 2005; accepted on Mar 22 2005 advance access publication Mar 29 2005

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Rithvik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 The Author(s)

About this chapter

Cite this chapter

Rithvik, M., Nageswara Rao, G. (2015). A Comparative Study of Methodologies of Protein Secondary Structure. In: Muppalaneni, N., Gunjan, V. (eds) Computational Intelligence Techniques for Comparative Genomics. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-287-338-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-287-338-5_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-337-8

  • Online ISBN: 978-981-287-338-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics