Bowler Michael G, Bowler Matthew W
Department of Physics, University of Oxford, Keble Road, Oxford OX1 3RH, England.
European Molecular Biology Laboratory, Grenoble Outstation, 6 Rue Jules Horowitz, 38042 Grenoble, France.
Acta Crystallogr F Struct Biol Commun. 2014 Jan;70(Pt 1):127-32. doi: 10.1107/S2053230X13032007. Epub 2013 Dec 24.
The advent of micro-focused X-ray beams has led to the development of a number of advanced methods of sample evaluation and data collection. In particular, multiple-position data-collection and helical oscillation strategies are now becoming commonplace in order to alleviate the problems associated with radiation damage. However, intra-crystal and inter-crystal variation means that it is not always obvious on which crystals or on which region or regions of a crystal these protocols should be performed. For the automation of this process for large-scale screening, and to provide an indication of the best strategy for data collection, a metric of crystal variability could be useful. Here, measures of the intrinsic variability within protein crystals are presented and their implications for optimal data-collection strategies are discussed.
微聚焦X射线束的出现推动了多种先进的样品评估和数据收集方法的发展。特别是，多位置数据收集和螺旋振荡策略如今已变得很常见，以缓解与辐射损伤相关的问题。然而，晶内和晶间变化意味着在哪些晶体上或晶体的哪些区域执行这些协议并不总是显而易见的。对于大规模筛选过程的自动化，并为数据收集提供最佳策略的指示，晶体变异性度量可能会很有用。在此，介绍了蛋白质晶体内部固有变异性的度量，并讨论了它们对最佳数据收集策略的影响。
