Getting connected: analysis and principles of biological networks

  1. Xiaowei Zhu1,2,
  2. Mark Gerstein3, and
  3. Michael Snyder1,2,4
  1. 1 Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA;
  2. 2 Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA;
  3. 3 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA

Abstract

The execution of complex biological processes requires the precise interaction and regulation of thousands of molecules. Systematic approaches to study large numbers of proteins, metabolites, and their modification have revealed complex molecular networks. These biological networks are significantly different from random networks and often exhibit ubiquitous properties in terms of their structure and organization. Analyzing these networks provides novel insights in understanding basic mechanisms controlling normal cellular processes and disease pathologies.

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