SECONDARY STRUCTURE PREDICTION - COMBINATION OF 3 DIFFERENT METHODS

SECONDARY STRUCTURE PREDICTION - COMBINATION OF 3 DIFFERENT METHODS
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DOI:
10.1093/protein/2.3.185
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发表时间:
1988-09-01
期刊:
PROTEIN ENGINEERING
影响因子:
--
通讯作者:
GARNIER, J
GARNIER, J
中科院分区:
其他
文献类型:
--
作者:
BIOU, V;GIBRAT, JF;GARNIER, J

文献摘要

被引文献

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提出了三种互补二级结构预测方法的组合。采用的方法有GOR III法、同源法和一种新的基于亲疏水残基模式的位模式法。为此,我们开发了一种水情量表,并在此展示。组合算法(Combine method)的目的是取每种方法的最佳结果,并利用它们之间的差异来提高预测效果。该组合在三个态中产生65.5%的正确预测残数:。-螺旋(H),。-链(E)和非周期结构(C),与使用67个多肽链数据库测试的单个方法相比,改进幅度为2.5%至6.5%。75%的常规二级结构(H和E)运行位置正确。与其他方法相比,组合方法可以更好地定位表运行。
A combination of three complementary secondary structure prediction methods is presented. The methods used are the GOR III method, the Homologue method and a new method, the bit pattern method, which is based on hydrophilic/hydrophobic residue patterns. For this purpose a hydropathy scale was developed and is presented here. The combination algorithm (Combine method) was designed to take the best results of each method and use their differences in order to improve the prediction. The combination yields 65.5% correctly predicted residues in three states: .alpha.-helix (H), .beta.-strand (E) and aperiodic structrue (C) which is an improvement ranging from 2.5 to 6.5% compared with the individual methods with tested with a 67-polypeptide chain database. Seventy-five per cent of the regular secondary structure (H and E) runs are correctly located and .beta.-sheet runs are much better located by the Combine method in comparison to the other methods.