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Localize.pytom: a modern webserver for cryo-electron tomography

机译:Localize.pytom:低温电子断层扫描的现代网络服务器

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摘要

Localize.pytom, available through is a webserver for the localize module in the PyTom package. It is a free website and open to all users and there is no login requirement. The server accepts tomograms as they are imaged and reconstructed by Cryo-Electron Tomography (CET) and returns densities and coordinates of candidate-macromolecules in the tomogram. Localization of macromolecules in cryo-electron tomograms is one of the key procedures to unravel structural features of imaged macromolecules. Positions of localized molecules are further used for structural analysis by single particle procedures such as fine alignment, averaging and classification. Accurate localization can be furthermore used to generate molecular atlases of whole cells. Localization uses a cross-correlation-based score and requires a reference volume as input. A reference can either be a previously detected macromolecular structure or extrapolated on the server from a specific PDB chain. Users have the option to use either coarse or fine angular sampling strategies based on uniformly distributed rotations and to accurately compensate for the CET common ‘Missing Wedge’ artefact during sampling. After completion, all candidate macromolecules cut out from the tomogram are available for download. Their coordinates are stored and available in XML format, which can be easily integrated into successive analysis steps in other software. A pre-computed average of the first one hundred macromolecules is also available for immediate download, and the user has the option to further analyse the average, based on the detected score distribution in a novel web-density viewer.
机译:Localize.pytom,可通过PyTom包中的localize模块的Web服务器获得。它是一个免费网站,向所有用户开放,并且没有登录要求。服务器接受由冷冻电子断层扫描(CET)成像和重建的断层图像,并返回断层图像中候选大分子的密度和坐标。低温电子断层图中的大分子定位是揭示成像大分子结构特征的关键过程之一。本地化分子的位置还可以通过单粒子程序(例如精细比对,平均和分类)用于结构分析。准确的定位还可用于生成整个细胞的分子图谱。本地化使用基于互相关的分数,并且需要参考量作为输入。引用可以是先前检测到的大分子结构,也可以是从服务器上从特定的PDB链推断出来的。用户可以选择使用基于均匀分布旋转的粗略或精细角度采样策略,并在采样过程中准确补偿CET常见的“ Missing Wedge”假象。完成后,从断层图中切出的所有候选大分子都可以下载。它们的坐标以XML格式存储并可用,可以很容易地集成到其他软件的后续分析步骤中。还可以立即下载前一百个大分子的预先计算的平均值,并且用户可以基于在新颖的Web密度查看器中检测到的分数分布,选择进一步分析平均值。

著录项

  • 期刊名称 Nucleic Acids Research
  • 作者

    Thomas Hrabe;

  • 作者单位
  • 年(卷),期 2015(43),Web Server issue
  • 年度 2015
  • 页码 W231–W236
  • 总页数 6
  • 原文格式 PDF
  • 正文语种
  • 中图分类 分子生物学;
  • 关键词

  • 入库时间 2022-08-21 11:02:11

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