Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Principal difference between stability and structural stability (robustness) as used in systems biology

  • Svetoslav Nikolov*
  • , Elka Yankulova
  • , Olaf Wolkenhauer
  • , Valko Petrov
  • *Korrespondierende/r Autor/-in für diese Arbeit
  • Bulgarische Akademie der Wissenschaften
  • Institute of Mechanics Bulgarian Academy of Sciences
  • Universität Sofia
  • Universität Rostock

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

33 Zitate (Scopus)

Abstract

The concepts stability and structural stability (robustness) are used often in systems biology. According to Kitano (2004) robustness is a fundamental property of evolvable complex biological systems. For that reason, the purpose of this review is to clarify: (a) how are strictly formulated concepts, such as stability and robustness of a dynamical system, used in computational systems biology; (b) what is meant by structural stability (robustness) in contemporary biology and how are stability and robustness distinguished from each other; and (c) why is it necessary to investigate whether a cell signal pathway is stable. We formulate the two concepts stability and structural stability (robustness) of a dynamical system with an arbitrary dimensionality, in the way they are known in mathematics and mechanics, and clarify the principal difference between them. We also consider how these two concepts are used in the analysis of a concrete biological system in systems biology. In the last section we formulate when, according to us, in biology (and in systems biology in particular), it should be said that a system (process) is stable, and when it is structurally stable.

OriginalspracheEnglisch
Seiten (von - bis)413-433
Seitenumfang21
FachzeitschriftNonlinear Dynamics, Psychology, and Life Sciences
Jahrgang11
Ausgabenummer4
PublikationsstatusVeröffentlicht - Okt. 2007
Extern publiziertJa

Fingerprint

Untersuchen Sie die Forschungsthemen von „Principal difference between stability and structural stability (robustness) as used in systems biology“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren