Robustness as a measure of plausibility in models of biochemical networks
Robustness as a measure of plausibility in models of biochemical networks
复制标题
DOI：
10.1006/jtbi.2002.2537
复制
发表时间：
2002-05-07
影响因子：
2
通讯作者：
Kitano, H
中科院分区：
文献类型：
--
作者：
Morohashi, M;Winn, AE;Kitano, H
理论、实验和观察表明，物种间保守的生物化学网络对浓度和动力学参数的变化具有鲁棒性。在这里，我们利用这种期望，提出了一种方法来建立和选择模型。我们将模型表示为从参数空间到行为空间的映射，并利用分叉分析来研究稳态行为的每个区域对参数变化的鲁棒性。模型中的潜在误差将导致参数的敏感性的假设进行了测试，通过分析的生化振荡器的两个模型的非洲爪蟾细胞周期。我们的分析成功地确定了旧模型中已知的弱点，并建议在最近，更合理的模型中进行进一步调查。它也正确地强调了为什么最近的模型更合理。(C)2002爱思唯尔科技有限公司。保留所有权利。
Theory, experiment, and observation suggest that biochemical networks which are conserved across species are robust to variations in concentrations and kinetic parameters. Here, we exploit this expectation to propose an approach to model building and selection. We represent a model as a mapping from parameter space to behavior space, and utilize bifurcation analysis to study the robustness of each region of steady-state behavior to parameter variations. The hypothesis that potential errors in models will result in parameter sensitivities is tested by analysis of two models of the biochemical oscillator underlying the Xenopus cell cycle. Our analysis successfully identifies known weaknesses in the older model and suggests areas for further investigation in the more recent, more plausible model. It also correctly highlights why the more recent model is more plausible. (C) 2002 Elsevier Science Ltd. All rights reserved.