Principles of Computational Cell Biology: From Protein Complexes to Cellular Networks / Edition 1

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This first textbook of its kind provides an ideal introduction to the field for students of biology and bioinformatics. Carefully designed study exercises — with corresponding answers — offer excellent support for those preparing for exams in these subjects, and help introduce the more technical aspects of the topic while keeping maths to a minimum. In particular the text focuses on a network-based approach to the study of cellular systems.

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Editorial Reviews

From the Publisher
?This volume contains succinct, yet clear, descriptions of each of these topics and is best suited for readers who are delving into these concepts for the first time.?( The Quarterly Review of Biology , 2009)
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Product Details

  • ISBN-13: 9783527315550
  • Publisher: Wiley
  • Publication date: 8/11/2008
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 289
  • Product dimensions: 6.70 (w) x 9.40 (h) x 0.60 (d)

Meet the Author

Volkhard Helms has been Professor of Bioinformatics in the Center of Bioinformatics, Saarland University since 2003, where he heads the bioinformatics department. He worked for his PhD in the European Molecular Biology Laboratory in Heidelberg and carried out post-doctoral work at UC San Diego. He then went on to lead a research group in theoretical biophysics at the Max Plank Institute of Biophysics in Frankfurt. In 2001 he was selected as an EMBO Young Investigator, and since 2000 he has been a member of the "Faculty of 1000". His work focuses on experimental and computational approaches to the study of protein-protein interactions.

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Table of Contents

Networks in Biological Cells
Algorithms on Mathematical Graphs
Protein-Protein Interaction Networks -
Pairwise Connectivity
Protein-Protein Interaction Networks -
Structural Hierarchies
Gene Regulatory Networks
Metabolic Networks
Kinetic Modeling of Cellular Processes
Structures of Protein Complexes and Subcellular Structures
Biomolecular Association and Binding
Integrated Networks

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