Stochastic simulation and graphic visualization of mitotic processes
Stochastic simulation and graphic visualization of mitotic processes
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DOI：
10.1016/j.ymeth.2010.01.021
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发表时间：
2010-06-01
期刊：
影响因子：
4.8
通讯作者：
Odde, David J.
中科院分区：
文献类型：
--
作者：
Gardner, Melissa K.;Odde, David J.
计算建模在解释实验结果方面非常有用。在这里，我们描述了一个相对复杂的随机模型微管动态不稳定的有丝分裂纺锤体可以开发简单的Riles和简单的编程代码。一旦这个模型被开发，用于比较模拟结果与实验数据的方法必须仔细考虑。任何计算模型的最终效用都依赖于其预测能力和帮助设计新实验的能力。我们描述了如何“解构”的模型，通过使用定量动画有助于更好地定性理解模型的行为。通过以这种方式提取模型的关键定性元素，可以更容易地从模型结果中提取模型预测和新实验。(C)2010年爱思唯尔公司All rights reserved.
Computational modeling can be extremely useful in interpreting experimental results. Here we describe how a relatively sophisticated stochastic model for microtubule dynamic instability in the mitotic spindle can be developed starting with straightforward Riles and simple programming code. Once this model is developed, the method for comparing simulation results to experimental data must be carefully considered. The ultimate utility of any computational model relies on its predictive power and the ability to assist in designing new experiments. We describe how "deconstructing" the model through the use of quantitative animations contributes to a better qualitative understanding of model behavior. By extracting key qualitative elements of the model in this fashion, model predictions and new experiments can be more easily extracted from model results. (C) 2010 Elsevier Inc. All rights reserved.