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Folding by Numbers: Primary Sequence Statistics and Their Use in Studying Protein Folding
Department of Biochemistry, Queen's University, Kingston, Ontario, Canada K7L 3N6
* Author to whom correspondence should be addressed.
Received: 30 January 2009; in revised form: 30 March 2009 / Accepted: 2 April 2009 / Published: 8 April 2009
Abstract: The exponential growth over the past several decades in the quantity of both primary sequence data available and the number of protein structures determined has provided a wealth of information describing the relationship between protein primary sequence and tertiary structure. This growing repository of data has served as a prime source for statistical analysis, where underlying relationships between patterns of amino acids and protein structure can be uncovered. Here, we survey the main statistical approaches that have been used for identifying patterns within protein sequences, and discuss sequence pattern research as it relates to both secondary and tertiary protein structure. Limitations to statistical analyses are discussed, and a context for their role within the field of protein folding is given. We conclude by describing a novel statistical study of residue patterning in β-strands, which finds that hydrophobic (i,i+2) pairing in β-strands occurs more often than expected at locations near strand termini. Interpretations involving β-sheet nucleation and growth are discussed.
Keywords: Primary Sequence; Protein Folding; Sequence-Structure Relationship
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MDPI and ACS Style
Wathen, B.; Jia, Z. Folding by Numbers: Primary Sequence Statistics and Their Use in Studying Protein Folding. Int. J. Mol. Sci. 2009, 10, 1567-1589.
Wathen B, Jia Z. Folding by Numbers: Primary Sequence Statistics and Their Use in Studying Protein Folding. International Journal of Molecular Sciences. 2009; 10(4):1567-1589.
Wathen, Brent; Jia, Zongchao. 2009. "Folding by Numbers: Primary Sequence Statistics and Their Use in Studying Protein Folding." Int. J. Mol. Sci. 10, no. 4: 1567-1589.