Information content in data sets for a nucleated-polymerization model.
Information content in data sets for a nucleated-polymerization model.
复制标题
成核聚合模型数据集中的信息内容。
DOI：
10.1080/17513758.2015.1050465
复制
发表时间：
2015
影响因子：
2.8
通讯作者：
Rezaei,Human
中科院分区：
文献类型：
--
作者：
Banks,HT;Doumic,Marie;Kruse,Carola;Prigent,Stephanie;Rezaei,Human
我们说明了使用的统计工具（渐近理论的标准误差量化使用适当的统计模型，自举，模型比较技术），除了敏感性分析，可用于确定数据集中的信息内容。我们这样做的背景下，最近的模型[S。Prigent，A.巴列斯塔湾Charles，N. Lenuzza，P. Gabriel，L.M.蒂内，H。Rezaei和M. Doumic，A efficient kinetic model for assemblies of amyloid fibrils and its application to polyglutamine aggregation，PLoS ONE 7（2012），e43273。doi：10.1371/journal.pone.0043273.]对于蛋白质中的成核聚合，关于其基本机制知之甚少;因此，我们在这里开发的方法可能对实验学家有很大帮助。我们的结论是，调查的数据集将支持合理水平的不确定性，只有估计的参数相关的聚集过程的早期步骤。
We illustrate the use of statistical tools (asymptotic theories of standard error quantification using appropriate statistical models, bootstrapping, and model comparison techniques) in addition to sensitivity analysis that may be employed to determine the information content in data sets. We do this in the context of recent models [S. Prigent, A. Ballesta, F. Charles, N. Lenuzza, P. Gabriel, L.M. Tine, H. Rezaei, and M. Doumic,An efficient kinetic model for assemblies of amyloid fibrils and its application to polyglutamine aggregation, PLoS ONE 7 (2012), e43273. doi:10.1371/journal.pone.0043273.] for nucleated polymerization in proteins, about which very little is known regarding the underlying mechanisms; thus, the methodology we develop here may be of great help to experimentalists. We conclude that the investigated data sets will support with reasonable levels of uncertainty only the estimation of the parameters related to theearly steps of the aggregation process.