Systems biology: parameter estimation for biochemical models

被引:218
作者
Ashyraliyev, Maksat [1 ]
Fomekong-Nanfack, Yves [2 ]
Kaandorp, Jaap A. [2 ]
Blom, Joke G. [1 ]
机构
[1] Ctr Wiskunde & Informat, NL-1098 XG Amsterdam, Netherlands
[2] Univ Amsterdam, Sect Computat Sci, NL-1012 WX Amsterdam, Netherlands
关键词
a prioiri and a posteriori identifiability; local and global optimization; parameter estimation; MEAD SIMPLEX-METHOD; GLOBAL IDENTIFIABILITY; GENETIC ALGORITHMS; SCATTER SEARCH; BOUND METHODS; OPTIMIZATION; CONVERGENCE; EFFICIENT; INFORMATION; MECHANISM;
D O I
10.1111/j.1742-4658.2008.06844.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Mathematical models of biological processes have various applications: to assist in understanding the functioning of a system, to simulate experiments before actually performing them, to study situations that cannot be dealt with experimentally, etc. Some parameters in the model can be directly obtained from experiments or from the literature. Others have to be inferred by comparing model results to experiments. In this minireview, we discuss the identifiability of models, both intrinsic to the model and taking into account the available data. Furthermore, we give an overview of the most frequently used approaches to search the parameter space.
引用
收藏
页码:886 / 902
页数:17
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