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The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Towards a theory of biological robustness

Open access
Kitano, Hiroaki·2007·Molecular Systems Biology

Abstract

Mol Syst Biol. 3: 137 Robustness is one of the fundamental characteristics of biological systems. Numerous reports have been published on how robustness is involved in various biological processes and on mechanisms that give rise to robustness in living systems (Savageau, 1985a, 1985b, 1998; Barkai and Leibler, 1997; Alon et al , 1999; von Dassow et al , 2000; Bhalla and Iyengar, 2001; Csete and Doyle, 2002, 2004; Kitano et al , 2004, 2004a, 2004b; Stelling et al , 2004; Kitano and Oda, 2006; Kitano, 2007a). With increasing interest in systems biology, properties at the system level such as robustness have attracted serious scientific research. Nevertheless, a mathematical foundation that provides a unified perspective on robustness is yet to be established. For systems biology to mature into a solid scientific discipline, there must be a solid theoretical and methodological foundation. Often, systems biology is equated with computer simulation of cells and organs. Although computer simulation is a powerful technique for clarifying the complex dynamics of biological systems, it is also a useful tool for exploring the foundation of biological systems. While investigation on the dynamic properties of specific aspects of organisms is scientifically significant and can be widely applied, it is a study on specific instances of design within a design space that is shaped by fundamental principles, structural, environmental, and evolutionary constraints. The scientific goal of systems biology is not merely to create precision models of cells and organs, but also to discover fundamental and structural principles behind biological systems that define the possible design space of life (Figure 1). The value of understanding fundamental and structural theories is that they provide deeper insights into the governing principles that complex evolvable systems including biological …

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Research works printed but not linked: 3

  1. Martins NC, Dahleh MA, Elia N (2004) Stabilization of uncertain systems in the presence of a stochastic digital link. IEEE Conference on Decision and Control. Nassau: IEEE
  2. Reynolds D, Carlson JM, Doyle J (2002) Design degree of freedom and mechanisms for complexity. Phys Rev E: 016108
  3. Savageau MA (1985a) Mathematics of organizationally complex systems. Biomed Biochim Acta 44: 839–844

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Metadata

Authors
Kitano, H.
Venue
Molecular Systems Biology
Published
2007-01
Volume
3
Issue
1
Pages
137-137
ISSN
1744-4292 (ISSN-L)
OpenAlex
W1979833590
Cited by
803
References
36
FWCI
17.24
Type
journal article
Language
en
Open access
gold
Licence

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