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Mathematics and Molecular Neurobiology

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Computational Methods for Macromolecules: Challenges and Applications

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 24))

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Abstract

Advances in mathematics and computer technology, together with advances in structural biology, are opening the way to detailed modeling of biology at the molecular and cellular levels. One objective of such studies is the development of a more complete understanding of biological systems, including the emergence of behavior at the cellular level from that at the molecular level. Another objective is the development of more sophisticated models for structure-aided discovery of new pharmaceuticals.

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Author information

Authors and Affiliations

  1. Howard Hughes Medical Institute, Department of Chemistry and Biochemistry, and Department of Pharmacology, University of California, San Diego, La Jolla, CA, 92093-0365, USA

    Nathan A. Baker, Kaihsu Tai, Richard Henchman, David Sept & J. Andrew McCammon

  2. Department of Biochemistry, University of Iowa, USA

    Adrian Elcock

  3. Department of Mathematics, University of California, San Diego, USA

    Michael Holst

Authors
  1. Nathan A. Baker
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  2. Kaihsu Tai
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  3. Richard Henchman
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  4. David Sept
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  5. Adrian Elcock
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  6. Michael Holst
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  7. J. Andrew McCammon
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Editor information

Editors and Affiliations

  1. Department of Chemistry, Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY, 10012, USA

    Tamar Schlick  & Hin Hark Gan  & 

  2. Howard Hughes Medical Institute, 251 Mercer Street, New York, NY, 10012, USA

    Tamar Schlick  & Hin Hark Gan  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Baker, N.A. et al. (2002). Mathematics and Molecular Neurobiology. In: Schlick, T., Gan, H.H. (eds) Computational Methods for Macromolecules: Challenges and Applications. Lecture Notes in Computational Science and Engineering, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56080-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-56080-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43756-7

  • Online ISBN: 978-3-642-56080-4

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