FoldUnfold: web server for the prediction of disordered regions in protein chain

被引：120

作者：

Galzitskaya, Oxana V. ^{[1
]}

Garbuzynskiy, Sergiy O. ^{[1
]}

Lobanov, Michail Yu. ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Prot Res, Pushchino 142290, Moscow Region, Russia

来源：

BIOINFORMATICS | 2006年 / 22卷 / 23期

基金：

俄罗斯基础研究基金会;

关键词：

D O I：

10.1093/bioinformatics/btl504

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Identification of disordered regions in polypeptide chains is very important because such regions are essential for protein function. A new parameter, namely mean packing density of residues has been introduced to detect disordered regions in a protein sequence. We have demonstrated that regions with weak expected packing density would be responsible for the appearance of disordered regions. Our method (FoldUnfold) has been tested on datasets of globular proteins (559 proteins) and long disordered protein segments (129 proteins) and showed improved performance over some other widely used methods, such as DISOPRED, PONDR VL3H, IUPred and GlobPlot.

引用

页码：2948 / 2949

页数：2

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