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PMID: 11872830 Published · ppublish English Journal Article Review

Reverse engineering of biological complexity.

Science (New York, N.Y.) ·Vol. 295 ·No. 5560 ·2002-03-01 ·Pages 1664-9

Csete ME, Doyle JC

Abstract

Advanced technologies and biology have extremely different physical implementations, but they are far more alike in systems-level organization than is widely appreciated. Convergent evolution in both domains produces modular architectures that are composed of elaborate hierarchies of protocols and layers of feedback regulation, are driven by demand for robustness to uncertain environments, and use often imprecise components. This complexity may be largely hidden in idealized laboratory settings and in normal operation, becoming conspicuous only when contributing to rare cascading failures. These puzzling and paradoxical features are neither accidental nor artificial, but derive from a deep and necessary interplay between complexity and robustness, modularity, feedback, and fragility. This review describes insights from engineering theory and practice that can shed some light on biological complexity.

MeSH Terms
Biological Evolution Computer Simulation Engineering Feedback, Physiological Models, Biological Physiological Phenomena Systems Theory
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Csete Marie E
Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Doyle John C
Article Info
Journal
Science (New York, N.Y.)
Abbr.
Science
ISSN
1095-9203
Published
2002-03-01
Pages
1664-9
Language
English
Region
United States
NLM ID
0404511
Subset
IM
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