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CCP4分子图形项目的进展。

Developments in the CCP4 molecular-graphics project.

作者信息

Potterton Liz, McNicholas Stuart, Krissinel Eugene, Gruber Jan, Cowtan Kevin, Emsley Paul, Murshudov Garib N, Cohen Serge, Perrakis Anastassis, Noble Martin

机构信息

Department of Chemistry, University of York, England.

出版信息

Acta Crystallogr D Biol Crystallogr. 2004 Dec;60(Pt 12 Pt 1):2288-94. doi: 10.1107/S0907444904023716. Epub 2004 Nov 26.

Abstract

Progress towards structure determination that is both high-throughput and high-value is dependent on the development of integrated and automatic tools for electron-density map interpretation and for the analysis of the resulting atomic models. Advances in map-interpretation algorithms are extending the resolution regime in which fully automatic tools can work reliably, but at present human intervention is required to interpret poor regions of macromolecular electron density, particularly where crystallographic data is only available to modest resolution [for example, I/sigma(I) < 2.0 for minimum resolution 2.5 A]. In such cases, a set of manual and semi-manual model-building molecular-graphics tools is needed. At the same time, converting the knowledge encapsulated in a molecular structure into understanding is dependent upon visualization tools, which must be able to communicate that understanding to others by means of both static and dynamic representations. CCP4 mg is a program designed to meet these needs in a way that is closely integrated with the ongoing development of CCP4 as a program suite suitable for both low- and high-intervention computational structural biology. As well as providing a carefully designed user interface to advanced algorithms of model building and analysis, CCP4 mg is intended to present a graphical toolkit to developers of novel algorithms in these fields.

摘要

实现高通量且高价值的结构测定进展,依赖于开发用于电子密度图解释及所得原子模型分析的集成化自动工具。图谱解释算法的进展正在扩展全自动工具能够可靠工作的分辨率范围,但目前在解释大分子电子密度的较差区域时仍需要人工干预,特别是在晶体学数据仅能达到中等分辨率的情况下[例如,最低分辨率为2.5 Å时,I/sigma(I) < 2.0]。在这种情况下,就需要一套手动和半自动的模型构建分子图形工具。与此同时,将分子结构中蕴含的知识转化为理解,依赖于可视化工具,这些工具必须能够通过静态和动态表示将这种理解传达给他人。CCP4 mg是一个旨在以与CCP4作为适用于低干预和高干预计算结构生物学的程序套件的持续开发紧密集成的方式满足这些需求的程序。除了为模型构建和分析的先进算法提供精心设计的用户界面外,CCP4 mg还旨在为这些领域的新算法开发者提供一个图形工具包。

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