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

机译:FoldUnfold:用于预测蛋白质链中无序区域的Web服务器

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Summary: 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.
机译:简介:鉴定多肽链中无序区域非常重要,因为此类区域对于蛋白质功能至关重要。引入了一个新参数,即残基的平均堆积密度来检测蛋白质序列中的无序区域。我们已经证明,预期堆积密度较弱的区域将导致无序区域的出现。我们的方法(FoldUnfold)已在球状蛋白质(559种蛋白质)和长期无序蛋白质片段(129种蛋白质)的数据集上进行了测试,与其他广泛使用的方法(例如DISOPRED,PONDR VL3H,IUPred和GlobPlot)相比,其性能有所提高。

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