Driving on cellular pathway #66

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The interconnectedness of gene regulation, protein interaction, and metabolic networks is responsible for the remarkable efficiency and adaptability of biological systems, as well as the extraordinary challenges facing researchers trying to understand them. The torrents of new biological data generated daily should lead to overcoming the challenges to understanding biological processes. However, our understanding of these systems has not grown proportionally to the amount of data generated. This disparity arises from the fact that the behavior of a biological system is not a linear superposition of the behaviors of its components. Higher-level structures within organisms can be maintained precisely because of the complex network of nonlinear interactions among lower-level components. As a result, scientists increasingly recognize that in order to advance our ability to understand and purposefully manipulate biomedical systems, we must take a systems level approach. However, it is not yet clear what systems level approach is optimal. I contend that we will only be able to make sense of systems-level information if we can develop methods that enable us to extract the small set of information that is relevant at the scale of interest.

Original languageEnglish (US)
Title of host publicationNoise and Fluctuations - 19th International Conference on Noise and Fluctuations, ICNF 2007
Pages641-646
Number of pages6
Volume922
DOIs
StatePublished - Dec 1 2007
Event19th International Conference on Noise and Fluctuations, ICNF2007 - Tokyo, Japan
Duration: Sep 9 2007Sep 14 2007

Other

Other19th International Conference on Noise and Fluctuations, ICNF2007
CountryJapan
CityTokyo
Period9/9/079/14/07

Keywords

  • biomedical systems
  • complex network
  • gene regulation

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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