PREDICTING COILED COILS BY USE SF PAIRWISE RESIDUE CORRELATIONS
PREDICTING COILED COILS BY USE SF PAIRWISE RESIDUE CORRELATIONS
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DOI：
10.1073/pnas.92.18.8259
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发表时间：
1995-08-29
影响因子：
11.1
通讯作者：
KIM, PS
中科院分区：
文献类型：
--
作者：
BERGER, B;WILSON, DB;KIM, PS
提出了一种方法，预测卷曲螺旋结构域的蛋白质序列，通过使用成对的残基相关性获得的（双链）卷曲螺旋数据库的58,217个氨基酸残基。称为PAIRCOIL的程序实现了这种方法，并且在区分卷曲螺旋与非卷曲螺旋的α-螺旋方面明显优于现有方法。成对残基相关性的数据库表明了稳定或不稳定卷曲螺旋的结构特征。
A method is presented that predicts coiled-coil domains in protein sequences by using pairwise residue correlations obtained from a (two-stranded) coiled-coil database of 58,217 amino acid residues. A program called PAIRCOIL implements this method and is significantly better than existing methods at distinguishing coiled coils from alpha-helices that are not coiled coils, The database of pairwise residue correlations suggests structural features that stabilize or destabilize coiled coils.