Toward computational systems biology.

Published

Journal Article (Review)

The development and successful application of high-throughput technologies are transforming biological research. The large quantities of data being generated by these technologies have led to the emergence of systems biology, which emphasizes large-scale, parallel characterization of biological systems and integration of fragmentary information into a coherent whole. Complementing the reductionist approach that has dominated biology for the last century, mathematical modeling is becoming a powerful tool to achieve an integrated understanding of complex biological systems and to guide experimental efforts of engineering biological systems for practical applications. Here I give an overview of current mainstream approaches in modeling biological systems, highlight specific applications of modeling in various settings, and point out future research opportunities and challenges.

Full Text

Duke Authors

Cited Authors

  • You, L

Published Date

  • January 2004

Published In

Volume / Issue

  • 40 / 2

Start / End Page

  • 167 - 184

PubMed ID

  • 15054221

Pubmed Central ID

  • 15054221

Electronic International Standard Serial Number (EISSN)

  • 1559-0283

International Standard Serial Number (ISSN)

  • 1085-9195

Digital Object Identifier (DOI)

  • 10.1385/cbb:40:2:167

Language

  • eng