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Phoenito实验:结合商业结晶自动化的优势。

Phoenito experiments: combining the strengths of commercial crystallization automation.

作者信息

Newman Janet, Pham Tam M, Peat Thomas S

机构信息

CSIRO Division of Molecular and Health Technologies, 343 Royal Parade, Parkville, VIC 3052, Australia.

出版信息

Acta Crystallogr Sect F Struct Biol Cryst Commun. 2008 Nov 1;64(Pt 11):991-6. doi: 10.1107/S1744309108029667. Epub 2008 Oct 31.

Abstract

The use of crystallization robots for initial screening in macromolecular crystallization is well established. This paper describes how four general optimization techniques, growth-rate modulation, fine screening, seeding and additive screening, have been adapted for automation in a medium-throughput crystallization service facility. The use of automation for more challenging optimization experiments is discussed, as is a novel way of using both the Mosquito and the Phoenix nano-dispensing robots during the setup of a single crystallization plate. This dual-dispenser technique plays to the strengths of both machines.

摘要

在大分子结晶的初始筛选中使用结晶机器人已得到广泛认可。本文介绍了四种通用的优化技术,即生长速率调节、精细筛选、晶种接种和添加剂筛选,是如何在中通量结晶服务设施中进行自动化适配的。文中讨论了将自动化用于更具挑战性的优化实验的情况,还介绍了在设置单个结晶板时同时使用Mosquito和Phoenix纳米分配机器人的一种新方法。这种双分配器技术发挥了两台机器的优势。

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