【2h】

Optimization of crystallization conditions for biological macromolecules

机译:生物大分子结晶条件的优化

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摘要

For the successful X-ray structure determination of macromolecules, it is first necessary to identify, usually by matrix screening, conditions that yield some sort of crystals. Initial crystals are frequently microcrystals or clusters, and often have unfavorable morphologies or yield poor diffraction intensities. It is therefore generally necessary to improve upon these initial conditions in order to obtain better crystals of sufficient quality for X-ray data collection. Even when the initial samples are suitable, often marginally, refinement of conditions is recommended in order to obtain the highest quality crystals that can be grown. The quality of an X-ray structure determination is directly correlated with the size and the perfection of the crystalline samples; thus, refinement of conditions should always be a primary component of crystal growth. The improvement process is referred to as optimization, and it entails sequential, incremental changes in the chemical parameters that influence crystallization, such as pH, ionic strength and precipitant concentration, as well as physical parameters such as temperature, sample volume and overall methodology. It also includes the application of some unique procedures and approaches, and the addition of novel components such as detergents, ligands or other small molecules that may enhance nucleation or crystal development. Here, an attempt is made to provide guidance on how optimization might best be applied to crystal-growth problems, and what parameters and factors might most profitably be explored to accelerate and achieve success.
机译:为了成功地确定大分子的X射线结构,首先必须通常通过基质筛选来鉴定产生某种晶体的条件。初始晶体通常是微晶或簇,并且通常具有不利的形态或产生差的衍射强度。因此,通常需要改进这些初始条件,以获得质量足够的更好的晶体用于X射线数据收集。即使最初的样品是合适的,通常也只有一点点,但仍建议对条件进行优化,以获得可以生长的最高质量的晶体。 X射线结构测定的质量与晶体样品的大小和完善程度直接相关。因此,条件的改善应该始终是晶体生长的主要组成部分。改进过程称为优化,它涉及影响结晶的化学参数(例如pH,离子强度和沉淀剂浓度)以及物理参数(例如温度,样品量和总体方法)的连续递增变化。它还包括应用某些独特的程序和方法,以及添加新型成分,例如去污剂,配体或其他可能增强成核或晶体发展的小分子。在此,我们尝试提供一些指导,以指导如何将优化最佳地应用于晶体生长问题,以及可以最有利地探索哪些参数和因素以加速并取得成功。

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