Merritt E A
Department of Biological Structure, University of Washington, Seattle, WA 98195-7742, USA.
Acta Crystallogr D Biol Crystallogr. 1999 Jun;55(Pt 6):1109-17. doi: 10.1107/s0907444999003789.
Recent technological improvements in crystallographic data collection have led to a surge in the number of protein structures being determined at atomic or near-atomic resolution. At this resolution, structural models can be expanded to include anisotropic displacement parameters (ADPs) for individual atoms. New protocols and new tools are needed to refine, analyze and validate such models optimally. One such tool, PARVATI, has been used to examine all protein structures (peptide chains >50 residues) for which expanded models including ADPs are available from the Protein Data Bank. The distribution of anisotropy within each of these refined models is broadly similar across the entire set of structures, with a mean anisotropy A in the range 0.4-0.5. This is a significant departure from a purely isotropic model and explains why the inclusion of ADPs yields a substantial improvement in the crystallographic residuals R and Rfree. The observed distribution of anisotropy may prove useful in the validation of very high resolution structures. A more complete understanding of this distribution may also allow the development of improved protein structural models, even at lower resolution.
晶体学数据收集方面最近的技术改进导致以原子或近原子分辨率测定的蛋白质结构数量激增。在这种分辨率下,结构模型可以扩展到包括单个原子的各向异性位移参数(ADP)。需要新的协议和新工具来对这些模型进行优化的精修、分析和验证。其中一个工具PARVATI已被用于检查所有蛋白质结构(肽链>50个残基),从蛋白质数据库中可获得包含ADP的扩展模型。在整个结构集中,这些精修模型中每个模型的各向异性分布大致相似,平均各向异性A在0.4 - 0.5范围内。这与纯各向同性模型有显著差异,并解释了为何包含ADP会使晶体学残差R和Rfree有实质性改善。观察到的各向异性分布可能在超高分辨率结构的验证中有用。对这种分布更全面的理解也可能允许开发改进的蛋白质结构模型,即使在较低分辨率下也是如此。