Although our understanding of globular protein folding continues to advance, the irregular tertiary structures and high cooperativity of globular proteins complicates energetic dissection. Recently, proteins with regular, repetitive tertiary structures have been identified that sidestep limitations imposed by globular protein architecture. Here we review recent studies of repeat-protein folding. These studies uniquely advance our understanding of both the energetics and kinetics of protein folding. Equilibrium studies provide detailed maps of local stabilities, access to energy landscapes, insights into cooperativity, determination of nearest-neighbor interaction parameters using statistical thermodynamics, relationships between consensus sequences and repeat-protein stability. Kinetic studies provide insight into the influence of short-range topology on folding rates, the degree to which folding proceeds by parallel (versus localized) pathways, and the factors that select among multiple potential pathways. The recent application of force spectroscopy to repeat-protein unfolding is providing a unique route to test and extend many of these findings.
KeywordsRepeat-protein; Ankyrin repeat; protein folding; energy landscape; atomic force microscopy In the last twenty-five years, advances in experimental studies and in computation and theory have greatly improved our understanding of protein folding. On the experimental side, advances have come from new and improved techniques, including site-directed mutagenesis, hydrogen exchange (HX) methods, improvements to rapid mixing devices, and development of single-molecule fluorescence and force spectroscopy. Experimental advances have also come in the form of generalizations and insights from expanding databases of thermodynamic and kinetic constants for protein folding [1][2][3][4][5].On the computational side, advances in our understanding of protein folding have come from huge increases in computer speed and storage capacity, in innovative methods to study energetics of folding such as ensemble-based approaches and replica exchange methods [6,7], and distributed computing methods [8]. As with experiment, computational studies of folding, and in particular, fold prediction, have greatly benefited from expanding databases of protein structure [9,10]. On the theoretical side, the application of ideas from condensed-matter *Correspondence: barrick@jhu.edu, (410) 516-0409. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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