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Novel sampling algorithms can significantly impact open questions in computational biology, most notably the in silico protein folding problem. By using computational methods, protein folding aims to find the three-dimensional structure of a protein chain given the sequence of its amino acid building blocks. The complexity of the problem strongly depends on the protein representation and its energy function. The more detailed the model, the more complex its corresponding energy function and the more challenge it sets for sampling algorithms. Kou, Zhou and Wong have introduced a novel sampling method, which could contribute significantly to the field of structural prediction. © Institute or Mathematical Statistics. 2006.

Original publication

DOI

10.1214/009053606000000470

Type

Journal article

Journal

Annals of Statistics

Publication Date

01/08/2006

Volume

34

Pages

1636 - 1641