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使用LADI-III进行中子大分子晶体学研究。

Neutron macromolecular crystallography with LADI-III.

作者信息

Blakeley Matthew P, Teixeira Susana C M, Petit-Haertlein Isabelle, Hazemann Isabelle, Mitschler Andre, Haertlein Michael, Howard Eduardo, Podjarny Alberto D

机构信息

Institut Laue-Langevin, 6 Rue Jules Horowitz, 38042 Grenoble, France.

出版信息

Acta Crystallogr D Biol Crystallogr. 2010 Nov;66(Pt 11):1198-205. doi: 10.1107/S0907444910019797. Epub 2010 Oct 20.

Abstract

At the Institut Laue-Langevin, a new neutron Laue diffractometer LADI-III has been fully operational since March 2007. LADI-III is dedicated to neutron macromolecular crystallography at medium to high resolution (2.5-1.5 Å) and is used to study key H atoms and water structure in macromolecular structures. An improved detector design and readout system has been incorporated so that a miniaturized reading head located inside the drum scans the image plate. From comparisons of neutron detection efficiency (DQE) with the original LADI-I instrument, the internal transfer of the image plates and readout system provides an approximately threefold gain in neutron detection. The improved performance of LADI-III, coupled with the use of perdeuterated biological samples, now allows the study of biological systems with crystal volumes of 0.1-0.2 mm(3), as illustrated here by the recent studies of type III antifreeze protein (AFP; 7 kDa). As the major bottleneck for neutron macromolecular studies has been the large crystal volumes required, these recent developments have led to an expansion of the field, extending the size and the complexity of the systems that can be studied and reducing the data-collection times required.

摘要

在劳厄-朗之万研究所,一台新型中子劳厄衍射仪LADI-III自2007年3月起已全面投入使用。LADI-III致力于中高分辨率(2.5 - 1.5 Å)的中子大分子晶体学研究,用于研究大分子结构中的关键氢原子和水结构。该仪器采用了改进的探测器设计和读出系统,位于鼓形装置内部的小型化读取头对成像板进行扫描。通过与原始的LADI-I仪器比较中子探测效率(DQE)可知,成像板和读出系统的内部传输使中子探测增益约为三倍。LADI-III性能的提升,再加上使用全氘代生物样品,现在能够研究晶体体积为0.1 - 0.2 mm³的生物系统,此处以近期对III型抗冻蛋白(AFP;7 kDa)的研究为例进行说明。由于中子大分子研究的主要瓶颈一直是所需的大晶体体积,这些最新进展推动了该领域的扩展,扩大了可研究系统的规模和复杂性,并缩短了所需的数据收集时间。

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