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Visual Analysis of Biomolecular Surfaces

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Book cover Visualization in Medicine and Life Sciences

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Summary

Surface models of biomolecules have become crucially important for the study and understanding of interaction between biomolecules and their environment. We argue for the need for a detailed understanding of biomolecular surfaces by describing several applications in computational and structural biology. We review methods used to model, represent, characterize, and visualize biomolecular surfaces focusing on the role that geometry and topology play in identifying features on the surface. These methods enable the development of efficient computational and visualization tools for studying the function of biomolecules.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Automation Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India

    Vijay Natarajan

  2. Department of Computer Science Genome Center, University of California, Davis, California, USA

    Patrice Koehl

  3. Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA

    Yusu Wang

  4. Institute for Data Analysis and Visualization Department of Computer Science, University of California, Davis, California, USA

    Bernd Hamann

Authors
  1. Vijay Natarajan
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  2. Patrice Koehl
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  3. Yusu Wang
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  4. Bernd Hamann
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Editor information

Editors and Affiliations

  1. School of Engineering and Science, Jacobs University Bremen, P.O. Box 750561, 28725, Bremen, Germany

    Lars Linsen

  2. Technische Universität Kaiserslautern, 67653, Kaiserslautern, Germany

    Hans Hagen

  3. Department of Computer Science, University of California, One Shields Avenue, Davis, CA, 95616-8562, USA

    Bernd Hamann

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Natarajan, V., Koehl, P., Wang, Y., Hamann, B. (2008). Visual Analysis of Biomolecular Surfaces. In: Linsen, L., Hagen, H., Hamann, B. (eds) Visualization in Medicine and Life Sciences. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72630-2_14

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