Mathematics and Molecular Neurobiology

  • Nathan A. Baker
  • Kaihsu Tai
  • Richard Henchman
  • David Sept
  • Adrian Elcock
  • Michael Holst
  • J. Andrew McCammon
Conference paper

DOI: 10.1007/978-3-642-56080-4_2

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

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Nathan A. Baker
    • 1
  • Kaihsu Tai
    • 1
  • Richard Henchman
    • 1
  • David Sept
    • 1
  • Adrian Elcock
    • 2
  • Michael Holst
    • 3
  • J. Andrew McCammon
    • 1
  1. 1.Howard Hughes Medical Institute, Department of Chemistry and Biochemistry, and Department of PharmacologyUniversity of CaliforniaSan Diego, La JollaUSA
  2. 2.Department of BiochemistryUniversity of IowaUSA
  3. 3.Department of MathematicsUniversity of CaliforniaSan DiegoUSA

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