Skip to main content

A β-Shape from the Voronoi Diagram of Atoms for Protein Structure Analysis

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3980))

Included in the following conference series:

Abstract

In this paper, we present a β-shape and a β-complex for a set of atoms with arbitrary sizes for a faster response to the topological queries among atoms. These concepts are the generalizations of the well-known α-shape and α-complex (and their weighted counterparts as well). To compute a β-shape, we first compute the Voronoi diagram of atoms and then transform the Voronoi diagram to a quasi-triangulation which is the topological dual of the Voronoi diagram. Then, we compute a β-complex from the quasi-triangulation by analyzing the valid intervals for each simplex in the quasi-triangulation. It is shown that a β-complex can be computed in O(m) time in the worst case from the Voronoi diagram of atoms, where m is the number of simplices in the quasi-triangulation. Then, a β-shape for a particular β consisting of k simplices can be located in O(log m + k) time in the worst case from the simplicies in the β-complex sorted according to the interval values.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lee, B., Richards, F.M.: The interpretation of protein structures: Estimation of static accessibility. Journal of Molecular Biology 55, 379–400 (1971)

    Article  Google Scholar 

  2. Richards, F.M.: Areas, volumes, packing, and protein structure. Annual Review of Biophysics and Bioengineering 6, 151–176 (1977)

    Article  Google Scholar 

  3. Connolly, M.L.: Analytical molecular surface calculation. Journal of Applied Crystallography 16, 548–558 (1983)

    Article  Google Scholar 

  4. Connolly, M.L.: Solvent-accessible surfaces of proteins and nucleic acids. Science 221, 709–713 (1983)

    Article  Google Scholar 

  5. Edelsbrunner, H., Mücke, E.P.: Three-dimensional alpha shapes. ACM Transactions on Graphics 13(1), 43–72 (1994)

    Article  MATH  Google Scholar 

  6. Kim, D.S., Kim, D., Sugihara, K.: Voronoi diagram of a circle set from Voronoi diagram of a point set: I. topology. Computer Aided Geometric Design 18, 541–562 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  7. Kim, D.S., Kim, D., Sugihara, K.: Voronoi diagram of a circle set from Voronoi diagram of a point set: II. geometry. Computer Aided Geometric Design 18, 563–585 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  8. Edelsbrunner, H.: Weighted alpha shapes. Technical Report UIUCDCS-R-92-1760, Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL (1992)

    Google Scholar 

  9. Edelsbrunner, H., Facello, M., Liang, J.: On the definition and the construction of pockets in macromolecules. Discrete Applied Mathematics 88, 83–102 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  10. Liang, J., Edelsbrunner, H., Woodward, C.: Anatomy of protein pockets and cavities: Measurement of binding site geometry and implications for ligand design. Protein Science 7, 1884–1897 (1998)

    Article  Google Scholar 

  11. Liang, J., Edelsbrunner, H., Fu, P., Sudhakar, P.V., Subramaniam, S.: Analytical shape computation of macromolecules: I. molecular area and volume through alpha shape. PROTEINS: Structure, Function, and Genetics 33, 1–17 (1998)

    Article  Google Scholar 

  12. Liang, J., Edelsbrunner, H., Fu, P., Sudhakar, P.V., Subramaniam, S.: Analytical shape computation of macromolecules: II. inaccessible cavities in proteins. PROTEINS: Structure, Function, and Genetics 33, 18–29 (1998)

    Article  Google Scholar 

  13. (RCSB Protein Data Bank Homepage), http://www.rcsb.org/pdb/

  14. Kim, D.S., Cho, Y., Kim, D.: Euclidean Voronoi diagram of 3D balls and its computation via tracing edges. Computer-Aided Design 37(13), 1412–1424 (2005)

    Article  MATH  Google Scholar 

  15. Kim, D.S., Cho, Y., Kim, D., Cho, C.H.: Protein sructure analysis using Euclidean Voronoi diagram of atoms. In: Proceedings of the International Workshop on Biometric Technologies (BT 2004), pp. 125–129 (2004)

    Google Scholar 

  16. Kim, D.S., Cho, Y., Kim, D., Kim, S., Bhak, J., Lee, S.H.: Euclidean Voronoi diagrams of 3D spheres and applications to protein structure analysis. In: Proceedings of the 1st International Symposium on Voronoi Diagrams in Science and Engineering (VD 2004), pp. 137–144 (2004)

    Google Scholar 

  17. Cho, Y., Kim, D., Kim, D.S.: Topology representation for the Voronoi diagram of 3D spheres. International Journal of CAD/CAM 5(3) (2005) (in press)

    Google Scholar 

  18. Kim, D.-S., Kim, D., Cho, Y., Sugihara, K.: Quasi-triangulation and interworld data struction in three dimensions. Computer-Aided Design (2005) (submitted)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Seo, J., Kim, D., Cho, CH., Kim, DS. (2006). A β-Shape from the Voronoi Diagram of Atoms for Protein Structure Analysis. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_12

Download citation

  • DOI: https://doi.org/10.1007/11751540_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34070-6

  • Online ISBN: 978-3-540-34071-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics