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Stability analysis of biological systems with real solution classification

  • Peking University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new and general approach for analyzing the stability of a large class of biological networks, modeled as autonomous systems of differential equations, using real solving and solution classification. The proposed approach, based on the classical technique of linearization from the qualitative theory of ordinary differential equations yet with exact symbolic computation, is applied to analyzing the local stability of the Cdc2-cyclin B/Wee1 system and the Mos/MEK/p42 MAPK cascade, two well-known models for cell and protein signaling that have been studied extensively in the literature. We provide rigorous proofs and generalizations for some of the previous results established experimentally and report our new findings.

Original languageEnglish
Title of host publicationISSAC'05 - Proceedings of the 2005 International Symposium on Symbolic and Algebraic Computation
PublisherAssociation for Computing Machinery (ACM)
Pages354-361
Number of pages8
ISBN (Print)1595930957, 9781595930958
DOIs
StatePublished - 2005
EventISSAC'05 - 2005 International Symposium on Symbolic and Algebraic Computation - Beijing, China
Duration: 24 Jul 200527 Jul 2005

Publication series

NameProceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC
Volume2005

Conference

ConferenceISSAC'05 - 2005 International Symposium on Symbolic and Algebraic Computation
Country/TerritoryChina
CityBeijing
Period24/07/0527/07/05

Keywords

  • Biological network
  • Cdc2-cyclin B/Wee1
  • Differential equations
  • Equilibrium
  • Mos/MEK/p42 MAPK cascade
  • Polynomial system
  • Real root
  • Solution classification
  • Stability

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