Discussion of equi-energy sampler by Kou, Zhou and Wong
成果类型：
Editorial Material
署名作者：
Minary, Peter; Levitt, Michael
署名单位：
Stanford University
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
DOI：
10.1214/009053606000000470
发表日期：
2006
页码：
1636-1641
关键词：
摘要：
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.
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