Paircoil2: improved prediction of coiled coils from sequence

被引:337
作者
McDonnell, AV
Jiang, T
Keating, AE
Berger, B
机构
[1] MIT, Dept Biol, Cambridge, MA 02139 USA
[2] MIT, Dept Math, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
关键词
D O I
10.1093/bioinformatics/bti797
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We introduce Paircoil2, a new version of the Paircoil program, which uses pairwise residue probabilities to detect coiled-coil motifs in protein sequence data. Paircoil2 achieves 98% sensitivity and 97% specificity on known coiled coils in leave-family-out cross-validation. It also shows superior performance compared with published methods in tests on proteins of known structure. Availability: Paircoil2 is freely available as a web application and for download at http://paircoil2.csail.mit.edu Contact: keating@mit.edu; bab@mit.edu Supplementary information: Available at Bioinformatics online and at the Paircoil website.
引用
收藏
页码:356 / 358
页数:3
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