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面向非晶体学家的蛋白质晶体学,或如何从已发表的大分子结构中获取最佳(而非更多)信息。

Protein crystallography for non-crystallographers, or how to get the best (but not more) from published macromolecular structures.

作者信息

Wlodawer Alexander, Minor Wladek, Dauter Zbigniew, Jaskolski Mariusz

机构信息

Macromolecular Crystallography Laboratory, NCI, Frederick, MD 21702, USA.

出版信息

FEBS J. 2008 Jan;275(1):1-21. doi: 10.1111/j.1742-4658.2007.06178.x. Epub 2007 Nov 23.

Abstract

The number of macromolecular structures deposited in the Protein Data Bank now exceeds 45,000, with the vast majority determined using crystallographic methods. Thousands of studies describing such structures have been published in the scientific literature, and 14 Nobel prizes in chemistry or medicine have been awarded to protein crystallographers. As important as these structures are for understanding the processes that take place in living organisms and also for practical applications such as drug design, many non-crystallographers still have problems with critical evaluation of the structural literature data. This review attempts to provide a brief outline of technical aspects of crystallography and to explain the meaning of some parameters that should be evaluated by users of macromolecular structures in order to interpret, but not over-interpret, the information present in the coordinate files and in their description. A discussion of the extent of the information that can be gleaned from the coordinates of structures solved at different resolution, as well as problems and pitfalls encountered in structure determination and interpretation are also covered.

摘要

蛋白质数据库中储存的大分子结构数量现已超过45000个,其中绝大多数是用晶体学方法测定的。数千篇描述此类结构的研究已发表在科学文献中,并且已有14位蛋白质晶体学家获得了诺贝尔化学奖或医学奖。尽管这些结构对于理解生物体中发生的过程以及药物设计等实际应用非常重要,但许多非晶体学家在对结构文献数据进行批判性评估时仍存在问题。本综述试图简要概述晶体学的技术方面,并解释一些参数的含义,大分子结构的使用者应评估这些参数,以便解释而非过度解读坐标文件及其描述中所呈现的信息。本文还讨论了从不同分辨率解析的结构坐标中可收集到的信息范围,以及结构测定和解释中遇到的问题与陷阱。

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