Williamson Mike P, Craven C Jeremy
Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, Sheffield, S10 2TN, UK.
J Biomol NMR. 2009 Mar;43(3):131-43. doi: 10.1007/s10858-008-9295-6. Epub 2009 Jan 10.
Current software is almost at the stage to permit completely automatic structure determination of small proteins of <15 kDa, from NMR spectra to structure validation with minimal user interaction. This goal is welcome, as it makes structure calculation more objective and therefore more easily validated, without any loss in the quality of the structures generated. Moreover, it releases expert spectroscopists to carry out research that cannot be automated. It should not take much further effort to extend automation to ca 20 kDa. However, there are technological barriers to further automation, of which the biggest are identified as: routines for peak picking; adoption and sharing of a common framework for structure calculation, including the assembly of an automated and trusted package for structure validation; and sample preparation, particularly for larger proteins. These barriers should be the main target for development of methodology for protein structure determination, particularly by structural genomics consortia.
当前的软件几乎已达到允许从核磁共振谱到结构验证,以最少的用户交互实现<15 kDa小蛋白质完全自动结构测定的阶段。这一目标值得欢迎,因为它使结构计算更客观,从而更易于验证,同时生成的结构质量不会有任何损失。此外,它使专业光谱学家能够开展无法自动化的研究。进一步将自动化扩展到约20 kDa应该不需要太多额外努力。然而,进一步自动化存在技术障碍,其中最大的障碍被确定为:峰挑选程序;采用和共享结构计算的通用框架,包括组装用于结构验证的自动化且可靠的软件包;以及样品制备,特别是对于较大蛋白质的样品制备。这些障碍应成为蛋白质结构测定方法开发的主要目标,尤其是结构基因组学联盟的目标。