Skip to main content

As3p: A Fast Algorithm to Search Structurally Similar Proteins

  • Conference paper
Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Abstract

Protein structure comparison is essential for understanding various aspects of protein structure, function and evolution. It can be used to explore the structural diversity and evolutionary patterns of protein families. In view of the above, a new algorithm is proposed which performs faster protein structure comparison using the peptide backbone torsional angles. It is fast, robust, computationally less expensive and efficient in finding structural similarities between two different protein structures and is also capable of identifying structural repeats within the same protein molecule.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berman, H.M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T.N., Weissig, H., Shindyalov, I.N., Bourne, P.E.: The Protein Data Bank. Nucleic Acids Res. 28, 235–242 (2000)

    Article  Google Scholar 

  2. Zotenko, E., Gogan, R.I., Wilbur, W.J., O’Leary, D.P., Przytycka, T.M.: Structural Footprinting In Protein Structure Comparison: the Impact of Structural Fragments. BMC Struct. Biol. 7, 53–66 (2007)

    Article  Google Scholar 

  3. Rost, B.: Protein Structures Sustain Evolutionary Drift. Fold Des. 24, S19–S24 (1997)

    Google Scholar 

  4. Balaji, S., Srinivasan, N.: Comparison of Sequence-Based and Structure-Based Phylogenetic Trees of Homologous Proteins: Inferences on Protein Evolution. J. Biosci. 32, 83–96 (2007)

    Article  Google Scholar 

  5. Illergard, K., Ardell, D.H., Elofsson, A.: Structure is Three To Ten Times More Conserved Than Sequence–A Study Of Structural Response In Protein Cores. Protein 77, 499–508 (2009)

    Article  Google Scholar 

  6. Le, Q., Pollastri, G., Koehl, P.: Structural Alphabets for Protein Structure Classification: A Comparison Study. J. Mol. Biol. 387, 431–450 (2009)

    Article  Google Scholar 

  7. Kolodny, R., Petrey, D., Honig, B.: Protein Structure Comparison: Implications For The Nature of ’Fold Space’, And Structure And Function Prediction. Curr. Opin. Struct. Biol. 16, 393–398 (2006)

    Article  Google Scholar 

  8. Zheng, W.M.: The Use of A Conformational Alphabet for Fast Alignment of Protein Structures. In: Măndoiu, I., Wang, S.-L., Zelikovsky, A. (eds.) ISBRA 2008. LNCS (LNBI), vol. 4983, pp. 331–342. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Friedberg, I., Harder, T., Kolodny, R., Sitbon, E., Li, Z., Godzik, A.: Using An Alignment of Fragment Strings for Comparing Protein Structures. Bioinformatics 23, 219–224 (2007)

    Article  Google Scholar 

  10. Holm, L., Kaariainen, S., Rosenstrom, P., Schenkel, A.: Searching Protein Structure Databases with DaliLite v.3. Bioinformatics 24, 2780–2781 (2008)

    Article  Google Scholar 

  11. Margraf, T., Schenk, G., Torda, A.E.: The SALAMI Protein Structure Search Server. Nucleic. Acids. Res. 37, 480–484 (2009)

    Article  Google Scholar 

  12. Usha, R., Murthy, M.R.: Protein Structural Homology: A Metric Approach. Int. J. Pept. Protein Res. 28(4), 364–369 (1986)

    Article  Google Scholar 

  13. Abraham, A.L., Rocha, E.P., Pothier, J.: Swelfe: A Detector of Internal Repeats in Sequences and Structures. Bioinformatics 24(13), 1536–1537 (2008)

    Article  Google Scholar 

  14. Sabarinathan, R., Basu, R., Sekar, K.: ProSTRIP: A Method to Find Similar Structural Repeats In Three-Dimensional Protein Structures. Comput. Biol. Chem. 34(2), 126–130 (2010)

    Article  MathSciNet  Google Scholar 

  15. Krissinel, E., Henrick, K.: Secondary-structure Matching (Ssm), A New Tool for Fast Protein Structure Alignment in Three Dimensions. Acta Cryst. D60, 2256–2268 (2004)

    Google Scholar 

  16. Wang, G., Dunbrack Jr., R.L.: PISCES: A Protein Sequence Culling Server. Bioinformatics 19(12), 1589–1591 (2003)

    Article  Google Scholar 

  17. Eddy, S.R.: What Is Dynamic Programming? Nat. Biotechnol. 22, 909–910 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rohit, S. et al. (2012). As3p: A Fast Algorithm to Search Structurally Similar Proteins. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31837-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics