Sedimentation Patterns of Rapidly Reversible Protein Interactions

被引:51
作者
Schuck, Peter [1 ]
机构
[1] Natl Inst Biomed Imaging & Bioengn, Dynam Macromolecular Assembly, Lab Bioengn & Phys Sci, NIH, Bethesda, MD USA
基金
美国国家卫生研究院;
关键词
VELOCITY ANALYTICAL ULTRACENTRIFUGATION; PYRUVATE-DEHYDROGENASE COMPLEX; COEFFICIENT DISTRIBUTIONS C(S); SIZE-DISTRIBUTION ANALYSIS; SELF-ASSOCIATING SOLUTES; GILBERT-JENKINS THEORY; LAMM EQUATION; WEIGHT AVERAGE; SYSTEMS; EQUILIBRIUM;
D O I
10.1016/j.bpj.2009.12.4336
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The transport behavior of macromolecular mixtures with rapidly reversible complex formation is of great interest in the study of protein interactions by many different methods. Complicated transport patterns arise even for simple bimolecular reactions, when all species exhibit different migration velocities. Although partial differential equations are available to describe the spatial and temporal evolution of the interacting system given particular initial conditions, a general overview of the phase behavior of the systems in parameter space has not yet been reported. In the case of sedimentation of two-component mixtures, this study presents simple analytical solutions that solve the underlying equations in the diffusion-free limit previously subject to Gilbert-Jenkins theory. The new expressions describe, with high precision, the average sedimentation coefficients and composition of each boundary, which allow the examination of features of the whole parameter space at once, and may be used for experimental design and robust analysis of experimental boundary patterns to derive the stoichiometry and affinity of the complex. This study finds previously unrecognized features, including a phase transition between boundary patterns. The model reveals that the time-average velocities of all components in the reaction mixture must match-a condition that suggests an intuitive physical picture of an effective particle of the coupled cosedimentation of an interacting system. Adding to the existing numerical solutions of the relevant partial differential equations, the effective particle model provides physical insights into the relationships of the parameters that govern sedimentation patterns.
引用
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页码:2005 / 2013
页数:9
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