7. Biological Systems, Fractals, and Systems Biology

  1. Matthew He1 and
  2. Sergey Petoukhov2

Published Online: 12 OCT 2010

DOI: 10.1002/9780470904640.ch7

Mathematics of Bioinformatics: Theory, Practice, and Applications

Mathematics of Bioinformatics: Theory, Practice, and Applications

How to Cite

He, M. and Petoukhov, S. (2010) Biological Systems, Fractals, and Systems Biology, in Mathematics of Bioinformatics: Theory, Practice, and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470904640.ch7

Author Information

  1. 1

    Nova Southeastern University, Fort Lauderdale, Florida, USA

  2. 2

    Russian Academy of Sciences, Moscow, Russia

Publication History

  1. Published Online: 12 OCT 2010
  2. Published Print: 17 DEC 2010

Book Series:

  1. Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Yi Pan and
  2. Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470404430

Online ISBN: 9780470904640

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Keywords:

  • biological systems;
  • fractal geometry;
  • genetic code;
  • systems biology

Summary

Modern science connects many basic secrets of living matter with the genetic codes. Biological organisms belong to a category of very complex natural systems, which correspond to a huge number of biological species with inherited properties. While computational biology, through pragmatic modeling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head - on, this chapter focuses on analytical methods of fractal geometry in biological systems. It explains how the presence of fractal geometry can be used in an analytical way to study genetic code systems and predict outcomes in systems, to generate hypotheses, and to help design experiments. The chapter also discusses the emerging field of systems biology, as well as challenges and perspectives in biological systems.

Controlled Vocabulary Terms

computational geometry; genetic algorithms