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CING:一个集成的基于残基的结构验证程序套件。

CING: an integrated residue-based structure validation program suite.

机构信息

CMBI, Radboud University Medical Centre, Geert Grooteplein 26-28, 6525 GA Nijmegen, The Netherlands.

出版信息

J Biomol NMR. 2012 Nov;54(3):267-83. doi: 10.1007/s10858-012-9669-7. Epub 2012 Sep 18.

Abstract

We present a suite of programs, named CING for Common Interface for NMR Structure Generation that provides for a residue-based, integrated validation of the structural NMR ensemble in conjunction with the experimental restraints and other input data. External validation programs and new internal validation routines compare the NMR-derived models with empirical data, measured chemical shifts, distance- and dihedral restraints and the results are visualized in a dynamic Web 2.0 report. A red-orange-green score is used for residues and restraints to direct the user to those critiques that warrant further investigation. Overall green scores below ~20 % accompanied by red scores over ~50 % are strongly indicative of poorly modelled structures. The publically accessible, secure iCing webserver ( https://nmr.le.ac.uk ) allows individual users to upload the NMR data and run a CING validation analysis.

摘要

我们提出了一套名为 CING(用于 NMR 结构生成的通用接口)的程序,它提供了基于残基的、综合的结构 NMR 整体验证,结合了实验约束和其他输入数据。外部验证程序和新的内部验证例程将 NMR 衍生模型与经验数据、测量的化学位移、距离和二面角约束进行比较,结果以动态 Web 2.0 报告的形式可视化。使用红-橙-绿评分来表示残基和约束,以指导用户关注那些需要进一步研究的批评。整体绿色评分低于20%,同时红色评分高于50%,强烈表明结构建模较差。公共访问、安全的 iCing Web 服务器(https://nmr.le.ac.uk)允许单个用户上传 NMR 数据并运行 CING 验证分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7878/3483101/66f8d35fe126/10858_2012_9669_Fig1_HTML.jpg

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