Algebraic method for the analysis of signaling crosstalk

Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugimoto, Kotaro Oka, Masaru Tomita

研究成果: Article

4 引用 (Scopus)

抜粋

A unified mathematical description that expresses the characteristics of whole systems is necessary for an understanding of signal transduction cascades. In this study we explore an algebraic method, named extreme signaling flow, enhanced from the concept of extreme pathway, to analyze signal transduction systems. This method enables us to represent the long-term potentiation (LTP) and the long-term depression (LTD) of hippocampal neuronal plasticity in an integrated simulation model. The model is validated by comparing the results of redundancy, reaction participation, and in silico knockout analysis with biological knowledge available from the literature. The following properties are assumed in these computational analyses: (1) LTP is fault-tolerant under network modification, (2) protein kinase C and MAPK have numerous routes to LTP induction, (3) calcium-calmodulin kinase II has a few routes to LTP induction, and (4) calcineurin has many routes to LTD induction. These results demonstrate that our approach produces an integrated framework for analyzing properties of large-scale systems with complicated signal transduction.

元の言語English
ページ(範囲)81-94
ページ数14
ジャーナルArtificial Life
14
発行部数1
DOI
出版物ステータスPublished - 2008 12 1

    フィンガープリント

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

これを引用