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ProSA-web:用于识别蛋白质三维结构错误的交互式网络服务。

ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins.

作者信息

Wiederstein Markus, Sippl Manfred J

机构信息

Center of Applied Molecular Engineering, Division of Bioinformatics, University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, Austria.

出版信息

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W407-10. doi: 10.1093/nar/gkm290. Epub 2007 May 21.

Abstract

A major problem in structural biology is the recognition of errors in experimental and theoretical models of protein structures. The ProSA program (Protein Structure Analysis) is an established tool which has a large user base and is frequently employed in the refinement and validation of experimental protein structures and in structure prediction and modeling. The analysis of protein structures is generally a difficult and cumbersome exercise. The new service presented here is a straightforward and easy to use extension of the classic ProSA program which exploits the advantages of interactive web-based applications for the display of scores and energy plots that highlight potential problems spotted in protein structures. In particular, the quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer. The service specifically addresses the needs encountered in the validation of protein structures obtained from X-ray analysis, NMR spectroscopy and theoretical calculations. ProSA-web is accessible at https://prosa.services.came.sbg.ac.at.

摘要

结构生物学中的一个主要问题是识别蛋白质结构的实验模型和理论模型中的错误。ProSA程序(蛋白质结构分析)是一个成熟的工具,拥有大量用户,常用于实验蛋白质结构的优化和验证以及结构预测与建模。蛋白质结构分析通常是一项困难且繁琐的工作。此处介绍的新服务是经典ProSA程序的一种直接且易于使用的扩展,它利用基于网络的交互式应用程序的优势来显示分数和能量图,突出显示在蛋白质结构中发现的潜在问题。特别是,蛋白质的质量分数会在所有已知蛋白质结构的背景下显示,结构中有问题的部分会在三维分子查看器中显示并突出显示。该服务专门满足在验证通过X射线分析、核磁共振光谱和理论计算获得的蛋白质结构时遇到的需求。可通过https://prosa.services.came.sbg.ac.at访问ProSA-web。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033a/1933241/b08250643d40/gkm290f1.jpg

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