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多伦多结构基因组学中心的高通量晶体学:概述

High throughput crystallography at SGC Toronto: an overview.

作者信息

Bochkarev Alexey, Tempel Wolfram

机构信息

Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada.

出版信息

Methods Mol Biol. 2008;426:515-21. doi: 10.1007/978-1-60327-058-8_34.

Abstract

The completion of the human genome allows the analysis, for the first time, of biological systems in the context of entire gene families. For enzymes, this approach permits the exploration of complex substrate specificity networks that often exhibit considerable overlap within and between protein families. The case for a family-based approach to protein studies is compelling, given the prospect of exploiting these specificities for various purposes, such as the development of therapeutic reagents. The Structural Genomics Consortium (SGC) was created to determine the structures of proteins with relevance to human health and place the structures into the public domain without restriction on use. The SGC operates out of the Universities of Toronto and Oxford, and Karolinska Institutet, each working on nonoverlapping protein target lists. The SGC focus on human protein families requires a repertoire of crystallography methods that differ from those adopted by structural genomics projects that are focused on filling out protein fold space. The key differences are heavier reliance on in house x-ray sources for diffraction data collection and predominant use of molecular replacement for phase determination. As projects such as the US Protein Structure Initiative and others fill the PDB with representatives of most major fold families, the SGC approach will become an increasingly useful model for many structural biology laboratories in the future. Technical details of the flow of samples and data within the high throughput (HTP) environment at SGC Toronto are presented, and provide a useful paradigm for the organization of collaborative or shared x-ray instrumentation facilities.

摘要

人类基因组测序的完成使得人们首次能够在整个基因家族的背景下分析生物系统。对于酶而言,这种方法有助于探索复杂的底物特异性网络,这些网络在蛋白质家族内部和之间往往存在相当大的重叠。鉴于利用这些特异性实现各种目的(如开发治疗试剂)的前景,基于家族的蛋白质研究方法很有吸引力。结构基因组学联盟(SGC)的成立旨在确定与人类健康相关的蛋白质结构,并将这些结构无限制地置于公共领域供人使用。SGC在多伦多大学、牛津大学和卡罗琳斯卡学院开展工作,每个机构研究不重叠的蛋白质靶点列表。SGC对人类蛋白质家族的关注需要一系列晶体学方法,这些方法不同于专注于填补蛋白质折叠空间的结构基因组学项目所采用的方法。关键区别在于更依赖内部X射线源进行衍射数据收集,以及主要使用分子置换来确定相位。随着美国蛋白质结构计划等项目用大多数主要折叠家族的代表填满蛋白质数据银行(PDB),SGC的方法在未来将成为许多结构生物学实验室越来越有用的模式。本文介绍了SGC多伦多高通量(HTP)环境中样品和数据流动的技术细节,为协作或共享X射线仪器设施的组织提供了一个有用的范例。

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