Computational methods for yeast prion curing curves

被引:1
|
作者
Ridout, Martin S. [1 ]
机构
[1] Univ Kent, Inst Math Stat & Actuarial Sci, Canterbury CT2 7NF, Kent, England
基金
英国生物技术与生命科学研究理事会;
关键词
Age-dependent branching process; Fast Fourier transform; Laplace transform numerical transform inversion; Renewal process; Saccharomyces cerevisiae;
D O I
10.1016/j.mbs.2008.07.008
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
if the chemical guanidine hydrochloride is added to a dividing culture of yeast cells in which some of the protein Sup35p is in its prion form. the proportion of cells that carry replicating units of the prion, termed propagons, decreases gradually over time. Stochastic models to describe this process of 'curing' have been developed in earlier work. The present paper investigates the use of numerical methods of Laplace transform inversion to calculate curing curves and contrasts this with an alternative, more direct, approach that involves numerical integration. Transform inversion is found to provide a much more efficient computational approach that allows different models to be investigated with minimal programming effort. The method is used to investigate the robustness of the curing curve to changes in the assumed distribution of cell generation times. Matlab code is available for carrying out the calculations. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:152 / 157
页数:6
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