Domagalski Marcin J, Zheng Heping, Zimmerman Matthew D, Dauter Zbigniew, Wlodawer Alexander, Minor Wladek
Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.
Methods Mol Biol. 2014;1091:297-314. doi: 10.1007/978-1-62703-691-7_21.
Quality control of three-dimensional structures of macromolecules is a critical step to ensure the integrity of structural biology data, especially those produced by structural genomics centers. Whereas the Protein Data Bank (PDB) has proven to be a remarkable success overall, the inconsistent quality of structures reveals a lack of universal standards for structure/deposit validation. Here, we review the state-of-the-art methods used in macromolecular structure validation, focusing on validation of structures determined by X-ray crystallography. We describe some general protocols used in the rebuilding and re-refinement of problematic structural models. We also briefly discuss some frontier areas of structure validation, including refinement of protein-ligand complexes, automation of structure redetermination, and the use of NMR structures and computational models to solve X-ray crystal structures by molecular replacement.
大分子三维结构的质量控制是确保结构生物学数据完整性的关键步骤,尤其是由结构基因组学中心产生的数据。尽管蛋白质数据库(PDB)总体上已取得显著成功,但结构质量的不一致揭示了结构/沉积验证缺乏通用标准。在此,我们综述了大分子结构验证中使用的最新方法,重点关注通过X射线晶体学确定的结构的验证。我们描述了一些用于重建和重新精修有问题的结构模型的通用方案。我们还简要讨论了结构验证的一些前沿领域,包括蛋白质-配体复合物的精修、结构重新确定的自动化,以及使用核磁共振结构和计算模型通过分子置换来解析X射线晶体结构。