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DynaMine 网页服务器:从序列预测蛋白质动力学。

The DynaMine webserver: predicting protein dynamics from sequence.

机构信息

MLG, Computer Science Department, Université Libre de Bruxelles (ULB), Brussels, Belgium Interuniversity Institute of Bioinformatics in Brussels (IB), ULB-VUB, Brussels, Belgium

Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels, Belgium Department of Structural Biology, VIB, Brussels, Belgium.

出版信息

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W264-70. doi: 10.1093/nar/gku270. Epub 2014 Apr 11.

DOI:10.1093/nar/gku270
PMID:24728994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4086073/
Abstract

Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. DynaMine rapidly produces a profile describing the statistical potential for such movements at residue-level resolution. The predicted values have meaning on an absolute scale and go beyond the traditional binary classification of residues as ordered or disordered, thus allowing for direct dynamics comparisons between protein regions. Through this webserver, we provide molecular biologists with an efficient and easy to use tool for predicting the dynamical characteristics of any protein of interest, even in the absence of experimental observations. The prediction results are visualized and can be directly downloaded. The DynaMine webserver, including instructive examples describing the meaning of the profiles, is available at http://dynamine.ibsquare.be.

摘要

蛋白质动力学对于理解蛋白质功能很重要。然而,准确的蛋白质动力学信息很难获得:在这里,我们介绍了 DynaMine 网络服务器,它可以直接从氨基酸序列预测蛋白质的快速骨架运动。DynaMine 快速生成一个描述残基水平分辨率下此类运动统计势的图谱。预测值具有绝对尺度的意义,超越了传统的将残基分类为有序或无序的二元分类,从而允许在蛋白质区域之间进行直接的动力学比较。通过这个网络服务器,我们为分子生物学家提供了一个高效易用的工具,用于预测任何感兴趣的蛋白质的动力学特征,即使在没有实验观察的情况下也是如此。预测结果可以可视化并直接下载。DynaMine 网络服务器,包括描述图谱含义的说明性示例,可在 http://dynamine.ibsquare.be 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/c05245db8e54/gku270fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/cbb2591a20a4/gku270fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/c32a48166951/gku270fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/503af9981b37/gku270fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/02401b940a3c/gku270fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/c05245db8e54/gku270fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/cbb2591a20a4/gku270fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/c32a48166951/gku270fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/503af9981b37/gku270fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/02401b940a3c/gku270fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/4086073/c05245db8e54/gku270fig5.jpg

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