Title :
Quantitative Analysis of the Self-Assembly Strategies of Intermediate Filaments from Tetrameric Vimentin
Author :
Czeizler, Eugen ; Mizera, Andrzej ; Czeizler, Elena ; Back, Ralph-Johan ; Eriksson, John E. ; Petre, Ion
Author_Institution :
Sch. of Sci., Dept. of Inf. & Comput. Sci., Aalto Univ., Aalto, Finland
Abstract :
In vitro assembly of intermediate filaments from tetrameric vimentin consists of a very rapid phase of tetramers laterally associating into unit-length filaments and a slow phase of filament elongation. We focus in this paper on a systematic quantitative investigation of two molecular models for filament assembly, recently proposed in (Kirmse et al. J. Biol. Chem. 282, 52 (2007), 18563-18572), through mathematical modeling, model fitting, and model validation. We analyze the quantitative contribution of each filament elongation strategy: with tetramers, with unit-length filaments, with longer filaments, or combinations thereof. In each case, we discuss the numerical fitting of the model with respect to one set of data, and its separate validation with respect to a second, different set of data. We introduce a high-resolution model for vimentin filament self-assembly, able to capture the detailed dynamics of filaments of arbitrary length. This provides much more predictive power for the model, in comparison to previous models where only the mean length of all filaments in the solution could be analyzed. We show how kinetic observations on low-resolution models can be extrapolated to the high-resolution model and used for lowering its complexity.
Keywords :
molecular biophysics; physiological models; proteins; self-assembly; extrapolation; filament assembly; filament elongation strategy; high-resolution model; in-vitro assembly; intermediate filaments; low-resolution model; mathematical modeling; molecular models; numerical model fitting; quantitative analysis; self-assembly strategy; unit-length filaments; vimentin filament self-assembly; Assembly; Biological system modeling; Computational modeling; Data models; Mathematical model; Numerical models; Proteins; Mathematical modeling; filament length distribution.; model resolution; protein self-assembly; quantitative self-assembly strategies; sensitivity analysis; Intermediate Filaments; Models, Molecular; Vimentin;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2011.154