Identifying knots in proteins
Identifying knots in proteins
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DOI：
10.1042/bst20120339
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发表时间：
2013-04-01
影响因子：
3.9
通讯作者：
Sulkowska, Joanna I.
中科院分区：
文献类型：
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作者：
Millett, Kenneth C.;Rawdon, Eric J.;Sulkowska, Joanna I.
多肽链在许多蛋白质中形成开放结。这些打结的蛋白质如何折叠以及发现这些结提供的进化优势是蛋白质折叠领域目前正在研究的一些关键问题。蛋白质结的检测和鉴定是巨大的挑战。人们已经采用了不同的方法及其许多变体，但是对于相同的蛋白质，它们可以给出不同的结果。在本文中，我们回顾了各种结识别算法，并比较了它们在蛋白质结研究中的相对优势。我们表明，与用于表征蛋白质结的其他方法相比，基于均匀闭合方法的统计方法具有优势。
Polypeptide chains form open knots in many proteins. How these knotted proteins fold and finding the evolutionary advantage provided by these knots are among some of the key questions currently being studied in the protein folding field. The detection and identification of protein knots are substantial challenges. Different methods and many variations of them have been employed, but they can give different results for the same protein. In the present article, we review the various knot identification algorithms and compare their relative strengths when applied to the study of knots in proteins. We show that the statistical approach based on the uniform closure method is advantageous in comparison with other methods used to characterize protein knots.