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Stability analysis of biological systems with real solution classification

  • Peking University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名ISSAC'05 - Proceedings of the 2005 International Symposium on Symbolic and Algebraic Computation
出版商Association for Computing Machinery (ACM)
354-361
页数8
ISBN(印刷版)1595930957, 9781595930958
DOI
出版状态已出版 - 2005
活动ISSAC'05 - 2005 International Symposium on Symbolic and Algebraic Computation - Beijing, 中国
期限: 24 7月 200527 7月 2005

出版系列

姓名Proceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC
2005

会议

会议ISSAC'05 - 2005 International Symposium on Symbolic and Algebraic Computation
国家/地区中国
Beijing
时期24/07/0527/07/05

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