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自动化与高通量的优化技术

Optimization techniques for automation and high throughput.

作者信息

Chayen Naomi E

机构信息

Biological Structure and Function Section, Division of Biomedical Sciences, Imperial College, London, United Kingdom.

出版信息

Methods Mol Biol. 2007;363:175-90. doi: 10.1007/978-1-59745-209-0_9.

Abstract

The main effort in the area of crystallization for structural genomics is currently being invested in automation of high-throughput screening procedures to identify potential crystallization conditions. However, screening in itself, even in massive quantities, is not enough; it has to be complemented by an equally important procedure in crystal production, namely crystal optimization. This chapter describes optimization methods for turning low-quality crystals into useful diffracting ones and presents practical ways of automating such methods and adapting them to high throughput. The methods enable the control of the crystallization environment as the trial takes place. They include the use of oils, gels, and the uncoupling of the nucleation and growth phases of crystallization.

摘要

目前,结构基因组学结晶领域的主要工作集中在高通量筛选程序的自动化,以确定潜在的结晶条件。然而,仅仅进行筛选,即使是大规模的筛选,也是不够的;还必须辅以晶体生产中同样重要的一个程序,即晶体优化。本章介绍了将低质量晶体转化为有用的可衍射晶体的优化方法,并给出了使这些方法自动化并使其适用于高通量的实用方法。这些方法能够在试验进行时控制结晶环境。它们包括使用油、凝胶,以及使结晶的成核和生长阶段解耦。

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