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基于知识的蛋白质二级结构预测

Knowledge-based protein secondary structure assignment.

作者信息

Frishman D, Argos P

机构信息

European Molecular Biology Laboratory, Heidelberg, Germany.

出版信息

Proteins. 1995 Dec;23(4):566-79. doi: 10.1002/prot.340230412.

Abstract

We have developed an automatic algorithm STRIDE for protein secondary structure assignment from atomic coordinates based on the combined use of hydrogen bond energy and statistically derived backbone torsional angle information. Parameters of the pattern recognition procedure were optimized using designations provided by the crystallographers as a standard-of-truth. Comparison to the currently most widely used technique DSSP by Kabsch and Sander (Biopolymers 22:2577-2637, 1983) shows that STRIDE and DSSP assign secondary structural states in 58 and 31% of 226 protein chains in our data sample, respectively, in greater agreement with the specific residue-by-residue definitions provided by the discoverers of the structures while in 11% of the chains, the assignments are the same. STRIDE delineates every 11th helix and every 32nd strand more in accord with published assignments.

摘要

我们基于氢键能量和统计得出的主链扭转角信息的联合使用,开发了一种用于从原子坐标进行蛋白质二级结构分配的自动算法STRIDE。模式识别程序的参数使用晶体学家提供的指定作为真值标准进行了优化。与目前使用最广泛的由卡布施和桑德提出的技术DSSP(《生物聚合物》22:2577 - 2637, 1983)相比,在我们的数据样本中,STRIDE和DSSP分别在226条蛋白质链的58%和31%中分配二级结构状态,与结构发现者提供的特定逐个残基定义的一致性更高,而在11%的链中,分配结果相同。STRIDE划分的每第11个螺旋和每第32个链更符合已发表的分配结果。

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