کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1956645 1057865 2008 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analyzing Forced Unfolding of Protein Tandems by Ordered Variates, 2: Dependent Unfolding Times
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شیمی
پیش نمایش صفحه اول مقاله
Analyzing Forced Unfolding of Protein Tandems by Ordered Variates, 2: Dependent Unfolding Times
چکیده انگلیسی

Statistical analyses of forced unfolding data for protein tandems, i.e., unfolding forces (force-ramp) and unfolding times (force-clamp), used in single-molecule dynamic force spectroscopy rely on the assumption that the unfolding transitions of individual protein domains are independent (uncorrelated) and characterized, respectively, by identically distributed unfolding forces and unfolding times. In our previous work, we showed that in the experimentally accessible piconewton force range, this assumption, which holds at a lower constant force, may break at an elevated force level, i.e., the unfolding transitions may become correlated when force is increased. In this work, we develop much needed statistical tests for assessing the independence of the unobserved forced unfolding times for individual protein domains in the tandem and equality of their parent distributions, which are based solely on the observed ordered unfolding times. The use and performance of these tests are illustrated through the analysis of unfolding times for computer models of protein tandems. The proposed tests can be used in force-clamp atomic force microscopy experiments to obtain accurate information on protein forced unfolding and to probe data on the presence of interdomain interactions. The order statistics-based formalism is extended to cover the analysis of correlated unfolding transitions. The use of order statistics leads naturally to the development of new kinetic models, which describe the probabilities of ordered unfolding transitions rather than the populations of chemical species.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 94, Issue 7, April 2008, Pages 2516–2528
نویسندگان
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