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PROFbval:预测蛋白质中的柔性和刚性残基。

PROFbval: predict flexible and rigid residues in proteins.

作者信息

Schlessinger Avner, Yachdav Guy, Rost Burkhard

机构信息

CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168th Street BB217, New York, NY 10032, USA.

出版信息

Bioinformatics. 2006 Apr 1;22(7):891-3. doi: 10.1093/bioinformatics/btl032. Epub 2006 Feb 2.

Abstract

UNLABELLED

The mobility of a residue on the protein surface is closely linked to its function. The identification of extremely rigid or flexible surface residues can therefore contribute information crucial for solving the complex problem of identifying functionally important residues in proteins. Mobility is commonly measured by B-value data from high-resolution three-dimensional X-ray structures. Few methods predict B-values from sequence. Here, we present PROFbval, the first web server to predict normalized B-values from amino acid sequence. The server handles amino acid sequences (or alignments) as input and outputs normalized B-value and two-state (flexible/rigid) predictions. The server also assigns a reliability index for each prediction. For example, PROFbval correctly identifies residues in active sites on the surface of enzymes as particularly rigid.

AVAILABILITY

http://www.rostlab.org/services/profbval

CONTACT

profbval@rostlab.org

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

未标注

蛋白质表面残基的流动性与其功能密切相关。因此,识别极其刚性或柔性的表面残基可为解决识别蛋白质中功能重要残基这一复杂问题提供关键信息。流动性通常通过高分辨率三维X射线结构的B值数据来衡量。很少有方法能从序列预测B值。在此,我们展示了PROFbval,这是首个从氨基酸序列预测标准化B值的网络服务器。该服务器将氨基酸序列(或比对)作为输入,并输出标准化B值和二态(柔性/刚性)预测结果。服务器还为每个预测结果分配一个可靠性指标。例如,PROFbval能正确识别酶表面活性位点中的残基为特别刚性的残基。

可用性

http://www.rostlab.org/services/profbval

联系方式

profbval@rostlab.org

补充信息

补充数据可在《生物信息学》在线获取。

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