• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

蛋白质电子密度图的自动追踪

Automated tracing of electron-density maps of proteins.

作者信息

Oldfield Thomas J

机构信息

Accelrys Inc., Department of Chemistry, University of York, Heslington, York YO10 5DD, England.

出版信息

Acta Crystallogr D Biol Crystallogr. 2003 Mar;59(Pt 3):483-91. doi: 10.1107/s0907444902023570. Epub 2003 Feb 21.

DOI:10.1107/s0907444902023570
PMID:12595705
Abstract

The tracing of experimental electron maps in the field of protein crystallography is not a rate-limiting step for structure elucidation, but does represent the process that requires the most expertise and user time. This paper presents a method for automatically tracing the electron-density maps of proteins which can reliably generate a C(alpha) trace for protein maps with data in the resolution range 1.5-4 A. The number of C(alpha) atoms placed and the precision of atom placement depends on the quality of the map, but even with poor maps (FOM approximately 0.5) the algorithm can provide a significant saving in time over conventional methods of interpretation. The interpretation of six experimental maps is presented at different resolutions and levels of phase error; these show that data with an FOM of 0.7 or better can be entirely traced with no user intervention.

摘要

在蛋白质晶体学领域中,实验电子密度图的追踪并非结构解析的限速步骤,但它确实是最需要专业知识和用户时间的过程。本文提出了一种自动追踪蛋白质电子密度图的方法,该方法能够在分辨率范围为1.5 - 4埃的数据下,可靠地生成蛋白质图谱的Cα追踪。放置的Cα原子数量和原子放置精度取决于图谱质量,但即使对于质量较差的图谱(FOM约为0.5),该算法相较于传统解释方法也能显著节省时间。本文展示了对六个不同分辨率和相位误差水平的实验图谱的解释;这些结果表明,FOM为0.7或更高的数据无需用户干预即可完全追踪。

相似文献

1
Automated tracing of electron-density maps of proteins.蛋白质电子密度图的自动追踪
Acta Crystallogr D Biol Crystallogr. 2003 Mar;59(Pt 3):483-91. doi: 10.1107/s0907444902023570. Epub 2003 Feb 21.
2
Automated protein model building combined with iterative structure refinement.结合迭代结构优化的自动化蛋白质模型构建
Nat Struct Biol. 1999 May;6(5):458-63. doi: 10.1038/8263.
3
A probabilistic approach to protein backbone tracing in electron density maps.电子密度图中蛋白质主链追踪的概率方法。
Bioinformatics. 2006 Jul 15;22(14):e81-9. doi: 10.1093/bioinformatics/btl252.
4
A Structural-informatics approach for tracing beta-sheets: building pseudo-C(alpha) traces for beta-strands in intermediate-resolution density maps.一种用于追踪β折叠的结构信息学方法:在中等分辨率密度图中为β链构建伪Cα轨迹。
J Mol Biol. 2004 May 21;339(1):117-30. doi: 10.1016/j.jmb.2004.03.038.
5
Pattern-recognition methods to identify secondary structure within X-ray crystallographic electron-density maps.用于识别X射线晶体学电子密度图中二级结构的模式识别方法。
Acta Crystallogr D Biol Crystallogr. 2002 Mar;58(Pt 3):487-93. doi: 10.1107/s0907444902000525. Epub 2002 Feb 21.
6
Automated crystallographic ligand building using the medial axis transform of an electron-density isosurface.利用电子密度等值面的中轴线变换进行自动晶体学配体构建。
Acta Crystallogr D Biol Crystallogr. 2005 Oct;61(Pt 10):1354-63. doi: 10.1107/S0907444905023152. Epub 2005 Sep 28.
7
Automatic modeling of protein backbones in electron-density maps via prediction of Calpha coordinates.通过预测α碳原子坐标在电子密度图中自动构建蛋白质主链模型。
Acta Crystallogr D Biol Crystallogr. 2002 Dec;58(Pt 12):2043-54. doi: 10.1107/s0907444902016724. Epub 2002 Nov 23.
8
The Buccaneer software for automated model building. 1. Tracing protein chains.用于自动模型构建的海盗软件。1. 追踪蛋白质链。
Acta Crystallogr D Biol Crystallogr. 2006 Sep;62(Pt 9):1002-11. doi: 10.1107/S0907444906022116. Epub 2006 Aug 19.
9
RCrane: semi-automated RNA model building.RCrane:半自动RNA模型构建。
Acta Crystallogr D Biol Crystallogr. 2012 Aug;68(Pt 8):985-95. doi: 10.1107/S0907444912018549. Epub 2012 Jul 17.
10
Rapid chain tracing of polypeptide backbones in electron-density maps.电子密度图中多肽主链的快速链追踪
Acta Crystallogr D Biol Crystallogr. 2010 Mar;66(Pt 3):285-94. doi: 10.1107/S0907444910000272. Epub 2010 Feb 12.

引用本文的文献

1
Application of DEN refinement and automated model building to a difficult case of molecular-replacement phasing: the structure of a putative succinyl-diaminopimelate desuccinylase from Corynebacterium glutamicum.将密度修改与自动模型构建应用于分子置换相位确定的一个困难案例:谷氨酸棒杆菌假定琥珀酰二氨基庚二酸去琥珀酰化酶的结构
Acta Crystallogr D Biol Crystallogr. 2012 Apr;68(Pt 4):391-403. doi: 10.1107/S090744491104978X. Epub 2012 Mar 16.
2
phenix.mr_rosetta: molecular replacement and model rebuilding with Phenix and Rosetta.菲尼克斯(Phenix)的Rosetta分子置换与模型重建
J Struct Funct Genomics. 2012 Jun;13(2):81-90. doi: 10.1007/s10969-012-9129-3. Epub 2012 Mar 15.
3
Rapid chain tracing of polypeptide backbones in electron-density maps.
电子密度图中多肽主链的快速链追踪
Acta Crystallogr D Biol Crystallogr. 2010 Mar;66(Pt 3):285-94. doi: 10.1107/S0907444910000272. Epub 2010 Feb 12.
4
Rapid model building of beta-sheets in electron-density maps.电子密度图中β-折叠的快速模型构建。
Acta Crystallogr D Biol Crystallogr. 2010 Mar;66(Pt 3):276-84. doi: 10.1107/S0907444910000302. Epub 2010 Feb 12.
5
Rapid model building of alpha-helices in electron-density maps.在电子密度图中快速构建α螺旋模型。
Acta Crystallogr D Biol Crystallogr. 2010 Mar;66(Pt 3):268-75. doi: 10.1107/S0907444910000314. Epub 2010 Feb 12.