Parameter estimation for the simulation of biochemical pathways

被引：0

作者：

Kimura, S ^{[1
]}

Hatakeyama, M ^{[1
]}

Kawasaki, T ^{[1
]}

Naka, T ^{[1
]}

Konagaya, A ^{[1
]}

机构：

[1] RIKEN, Genom Sci Ctr, Yokohama, Kanagawa, Japan

来源：

PROCEEDINGS OF THE FIFTEENTH IASTED INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION | 2004年

关键词：

biochemical pathway; parameter estimation; optimization; computer simulation; bioinformatics;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The computational simulation of biochemical pathways requires a technique for estimating unmeasurable parameters from observable data. In many cases this can be problematic, as parameter estimation problems for biochemical pathways tend to have difficult properties. This paper proposes two techniques that can be used to overcome the difficulties of such problems. The first, a problem decomposition, is used to divide the parameter estimation problem into several subproblems. The second, a logarithmic transformation, is used to decrease the flat area of the objective function of this problem. We apply these two proposed techniques to estimate the parameters of a model of HRG-stimulated ErbB4 receptor signaling.

引用

页码：266 / 271

页数：6

共 14 条

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