Analysis of network dynamics including hidden variables by symbolic-numeric approach
We propose a symbolic-numeric method for estimating the kinetic constants in a biological network including hidden variables which mean that the behaviors of corresponding molecules cannot be directly measured. In the present method, an algebraic manipulation of the differential equations over the Laplace domain, formulated based on the assumption of linear relationships between the variables, is combined with the numerical fitting of the sampling data. The performance of the method is illustared for a part of MAPK network with the data measured by the transfection cell array in combination of the gene interference by siRNAs.
Symbolic Computation Numerical Optimization Network Dynamics Hidden Variable Bi-fan structure
Daisuke Tominaga Yasuhito Tokumoto Masahiko Nakatsui Fuyan Sun Jun Miyake Katsuhisa Horimoto
Computational Biology Research Center, AIST, 2-42 Aomi, Koto, Tokyo 135-0064, Japan The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan Research Institute for Cell Engi
国际会议
The Second International Symposium(OSB08)(第二届国际优化及系统生物学学术会议)
云南丽江
英文
242-248
2008-10-31(万方平台首次上网日期,不代表论文的发表时间)