Computational exploration of structural information from cryo-electron tomograms

被引：50

作者：

Frangakis, AS

Förster, F

机构：

[1] European Mol Biol Lab, D-69117 Heidelberg, Germany

[2] Max Planck Inst Biochem, D-82152 Martinsried, Germany

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2004年 / 14卷 / 03期

关键词：

D O I：

10.1016/j.sbi.2004.04.003

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Cryo-electron tomography aims to act as an interface between in vivo cell imaging and techniques achieving atomic resolution. This attempt to bridge the resolution gap is facilitated by recent software and hardware advances. Information provided by atomically resolved macromolecules and molecular interaction data need to be put into a common framework in order to create a hybrid multidimensional cellular image. A major partner in this enterprise is the development of regularization and pattern recognition techniques, which try to identify macromolecular complexes as a function of their structural signature in cryo-electron tomograms of living cells.

引用

收藏

页码：325 / 331

页数：7

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