Robin Gautier, Cowieson Nathan P, Guncar Gregor, Forwood Jade K, Listwan Pawel, Hume David A, Kobe Bostjan, Martin Jennifer L, Huber Thomas
Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Methods Mol Biol. 2008;426:27-35. doi: 10.1007/978-1-60327-058-8_2.
Increasing the success in obtaining structures and maximizing the value of the structures determined are the two major goals of target selection in structural proteomics. This chapter presents an efficient and flexible target selection procedure supplemented with a Web-based resource that is suitable for small- to large-scale structural genomics projects that use crystallography as the major means of structure determination. Based on three criteria, biological significance, structural novelty, and "crystallizability," the approach first removes (filters) targets that do not meet minimal criteria and then ranks the remaining targets based on their "crystallizability" estimates. This novel procedure was designed to maximize selection efficiency, and its prevailing criteria categories make it suitable for a broad range of structural proteomics projects.
提高获取结构的成功率并使所确定结构的价值最大化是结构蛋白质组学中靶点选择的两个主要目标。本章介绍了一种高效且灵活的靶点选择程序,并辅以一个基于网络的资源,该程序适用于以晶体学作为主要结构测定手段的从小规模到大规模的结构基因组学项目。基于生物学意义、结构新颖性和“可结晶性”这三个标准,该方法首先剔除(过滤)不符合最低标准的靶点,然后根据对剩余靶点“可结晶性”的评估进行排序。这种新颖的程序旨在使选择效率最大化,其主要的标准类别使其适用于广泛的结构蛋白质组学项目。