Krissinel Evgeny
CCP4, Research Complex at Harwell, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxon, England.
Acta Crystallogr D Biol Crystallogr. 2011 Apr;67(Pt 4):376-85. doi: 10.1107/S0907444911007232. Epub 2011 Mar 18.
This paper presents a discussion of existing methods for the analysis of macromolecular interactions and complexes in crystal packing. Typical situations and conditions where wrong answers may be obtained in the course of ordinary procedures are presented and discussed. The more general question of what the relationship is between natural (in-solvent) and crystallized assemblies is discussed and researched. A computational analysis suggests that weak interactions with K(d) ≥ 100 µM have a considerable chance of being lost during the course of crystallization. In such instances, crystal packing misrepresents macromolecular complexes and interactions. For as many as 20% of protein dimers in the PDB the likelihood of misrepresentation is estimated to be higher than 50%. Given that weak macromolecular interactions play an important role in many biochemical processes, these results suggest that a complementary noncrystallographic study should be always conducted when inferring structural aspects of weakly bound complexes.
本文讨论了晶体堆积中大分子相互作用和复合物分析的现有方法。介绍并讨论了在常规程序中可能得到错误答案的典型情况和条件。探讨并研究了更普遍的问题,即天然(溶剂中)组装体与结晶组装体之间的关系是什么。计算分析表明,解离常数(K(d))≥100 µM的弱相互作用在结晶过程中有相当大的几率丢失。在这种情况下,晶体堆积会错误呈现大分子复合物和相互作用。据估计,在蛋白质数据银行(PDB)中多达20%的蛋白质二聚体,其错误呈现的可能性高于50%。鉴于弱大分子相互作用在许多生化过程中起重要作用,这些结果表明,在推断弱结合复合物的结构方面时,应始终进行补充性的非晶体学研究。