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首页> 外文期刊>Journal of Structural Biology >Review: Protein secondary structure prediction continues to rise [Review]
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Review: Protein secondary structure prediction continues to rise [Review]

机译：综述：蛋白质二级结构预测继续上升[综述]

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Methods predicting protein secondary structure improved substantially in the 1990s through the use of evolutionary information taken from the divergence of proteins in the same structural family. Recently, the evolutionary information resulting from improved searches and larger databases has again boosted prediction accuracy by more than four percentage points to its current height of around 76% of all residues predicted correctly in one of the three states' helix, strand, and other. The past year also brought successful new concepts to the field. These new methods may be particularly interesting in light of the improvements achieved through simple combining of existing methods. Divergent evolutionary profiles contain enough information not only to substantially improve prediction accuracy, but also to correctly predict long stretches of identical residues observed in alternative secondary structure states depending on nonlocal conditions. An example is a method automatically identifying structural switches and thus finding a remarkable connection between predicted secondary structure and aspects of function. Secondary structure predictions are increasingly becoming the work horse for numerous methods aimed at predicting protein structure and function. Is the recent increase in accuracy significant enough to make predictions even more useful? Because the recent improvement yields a better prediction of segments, and in particular of beta strands, I believe the answer is affirmative. What is the limit of prediction accuracy? We shall see.
机译：通过使用从同一结构家族中蛋白质差异中获得的进化信息，预测蛋白质二级结构的方法在1990年代得到了显着改善。最近，改进的搜索和更大的数据库所产生的进化信息再次将预测精度提高了四个百分点以上，达到了目前的高度，这是在三个州的螺旋，链等中的一个正确预测的所有残基的约76％。过去的一年也为该领域带来了成功的新概念。鉴于通过简单组合现有方法而实现的改进，这些新方法可能特别有趣。不同的进化概况包含足够的信息，不仅可以大大提高预测准确性，而且可以根据非局部条件正确预测在替代二级结构状态下观察到的相同残基的长延伸。一个示例是一种方法，该方法可以自动识别结构开关，从而在预测的二级结构和功能方面之间找到​​显着的联系。二级结构预测正日益成为许多旨在预测蛋白质结构和功能的方法的主力军。最近准确性的提高是否足以使预测更加有用？因为最近的改进可以更好地预测片段，尤其是β链，所以我相信答案是肯定的。预测精度的极限是多少？我们将会看到。

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