Skip to main content

Approximate Protein Folding in the HP Side Chain Model on Extended Cubic Lattices (Extended Abstract)

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1643))

Abstract

One of the most important open problems in computational molecular biology is the prediction of the conformation of a protein based on its amino acid sequence. In this paper, we design approximation algorithms for structure prediction in the so-called HP side chain model. The major drawback of the standard HP side chain model is the bipartiteness of the cubic lattice. To eliminate this drawback, we introduce the extended cubic lattice which extends the cubic lattice by diagonals in the plane. For this lattice, we present two linear algorithms with approximation ratios of 59/70 and 37/42, respectively. The second algorithm is designed for a ‘natural’ subclass of proteins, which covers more than 99:5% of all sequenced proteins. This is the first time that a protein structure prediction algorithm is designed for a ‘natural’ subclass of all combinatorially possible sequences.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Agarwala, S. Batzoglou, V. Dančík, S. Decatur, M. Farach, S. Hannenhalli, S. Muthukrishnan, S. Skiena: Local Rules for Protein Folding on a Triangular Lattice and generalized Hydrophobicity in the HP Model, Proceedings of the 8th Symposium on Discrete Algorithms, 390–399, 1997, also in Proceedings of the First Conference on Computational Molecular Biology, 1-2, 1997.

    Google Scholar 

  2. B. Berger, F. T. Leighton: Protein Folding in the Hydrophobic-Hydrophilic (HP) Model is NP-Complete, Proceedings of the 2nd Conference on Computational Molecular Biology, 30–39, 1998.

    Google Scholar 

  3. P. Crescenzi, D. Goldman, C. Papadimitriou, A. Piccolboni, M. Yannakakis: On the Complexity of Protein Folding, Proceedings of the 30th Symposium on Theory of Computing, 597–603, 1998, also in Proceedings of the 2nd Conference on Computational Molecular Biology, 61-62, 1998.

    Google Scholar 

  4. K. A. Dill: Dominant Forces in Protein Folding, Biochemistry, 29(31):7133–7155, 1990.

    Article  Google Scholar 

  5. K. A. Dill, S. Bromberg, K. Yue, K. M. Fiebig, D. Yee, P. Thomas, H. Chan: Principles of Protein Folding: A Perspective From Simple Exact Models, Prot. Sci., 4:561–602, 1995.

    Article  Google Scholar 

  6. A. Fraenkel: Complexity of Protein Folding, Bull. Math. Biol., 55(6):1199–1210, 1993.

    MATH  Google Scholar 

  7. W. E. Hart, S. Istrail: Fast Protein Folding in the Hydrophobic-Hydrophilic Model Within Three-Eights of Optimal, Proceedings of the 27th Symposium on Theory of Computing, 157–167, 1995.

    Google Scholar 

  8. W. E. Hart, S. Istrail: Fast Protein Folding in the Hydrophobic-Hydrophilic Model Within Three-Eights of Optimal, J. Comp. Biol., 3(1):53–96, 1996.

    Article  Google Scholar 

  9. W. E. Hart, S. Istrail: Lattice and Off-Lattice Side Chain Models of Protein Folding: Linear Time Structure Prediction Better Than 86% of Optimal, Proceedings of the 2nd Conference on Computational Molecular Biology, 137–146, 1997.

    Google Scholar 

  10. A. Nayak, A. Sinclair, U. Zwick: Spatial Codes and the Hardness of String Folding Problems, Proceedings of the 9th Symposium on Discrete Algorithms, 639–648, 1998.

    Google Scholar 

  11. J. T. Ngo, J. Marks: Computational Complexity of a Problem in Molecular Structure Prediction, Prot. Engng., 5(4):313–321, 1992.

    Article  Google Scholar 

  12. J. T. Ngo, J. Marks, M. Karplus: Computational Complexity, Protein Structure Prediction, and the Levinthal Paradox, in The Protein Folding Problem and Tertiary Structure Prediction, K. Merz Jr., S. LeGrand (Eds.), Birkhäuser, 1994.

    Google Scholar 

  13. M. Paterson, T. Przytycka: On the Complexity of String Folding, Proceedings of the 23rd Int’l Colloquium on Automata, Languages, and Programming, 658–669, 1996.

    Google Scholar 

  14. S. Sun, R. Brem, H. D. Chan, K. A. Dill: Designing Amino Acid Sequences to Fold with Good Hydrophobic Cores, Prot. Engng. 8(12):1205–1213, 1995.

    Article  Google Scholar 

  15. R. Unger, J. Moult: Finding the Lowest Free Energy Conformation of a Protein is an NP-Hard Problem: Proof and Implications, Bull. Math. Biol., 55(6):1183–1198, 1993.

    MATH  Google Scholar 

  16. SWISS-PROT Protein Sequence Data Bank: http://www.expasy.ch/sprot/, ftp://www.expasy.ch/databases/swiss-prot/sprot36.dat (as of July 21, 1998).

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Heun, V. (1999). Approximate Protein Folding in the HP Side Chain Model on Extended Cubic Lattices (Extended Abstract). In: Nešetřil, J. (eds) Algorithms - ESA’ 99. ESA 1999. Lecture Notes in Computer Science, vol 1643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48481-7_19

Download citation

  • DOI: https://doi.org/10.1007/3-540-48481-7_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66251-8

  • Online ISBN: 978-3-540-48481-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics