Jin Shikai, Miller Mitchell D, Chen Mingchen, Schafer Nicholas P, Lin Xingcheng, Chen Xun, Phillips George N, Wolynes Peter G
Center for Theoretical Biological Physics, Rice University, Houston, Texas, USA.
Department of Biosciences, Rice University, Houston, Texas, USA.
IUCrJ. 2020 Oct 27;7(Pt 6):1168-1178. doi: 10.1107/S2052252520013494. eCollection 2020 Nov 1.
The phase problem in X-ray crystallography arises from the fact that only the intensities, and not the phases, of the diffracting electromagnetic waves are measured directly. Molecular replacement can often estimate the relative phases of reflections starting with those derived from a template structure, which is usually a previously solved structure of a similar protein. The key factor in the success of molecular replacement is finding a good template structure. When no good solved template exists, predicted structures based partially on templates can sometimes be used to generate models for molecular replacement, thereby extending the lower bound of structural and sequence similarity required for successful structure determination. Here, the effectiveness is examined of structures predicted by a state-of-the-art prediction algorithm, the (), which has been shown to perform well in predicting protein structures in CASP13 when there is no significant sequence similarity to a solved protein or only very low sequence similarity to known templates. The performance of structures in molecular replacement is discussed and the results show that performs well in providing useful phase information, often performing better than and the previous algorithm .
X射线晶体学中的相位问题源于这样一个事实,即直接测量的只是衍射电磁波的强度,而非相位。分子置换通常可以从源自模板结构(通常是先前解析出的类似蛋白质的结构)的那些反射开始估计其相对相位。分子置换成功的关键因素是找到一个好的模板结构。当不存在良好解析的模板时,部分基于模板预测的结构有时可用于生成分子置换模型,从而扩展成功确定结构所需的结构和序列相似性的下限。在此,研究了一种先进预测算法()预测的结构的有效性,该算法在CASP13中已被证明,当与已解析的蛋白质没有显著序列相似性或与已知模板只有非常低的序列相似性时,在预测蛋白质结构方面表现良好。讨论了该算法预测的结构在分子置换中的性能,结果表明该算法在提供有用的相位信息方面表现良好,通常比算法和先前的算法表现更好。