Tovchigrechko Andrei, Wells Christopher A, Vakser Ilya A
Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston 29425, USA.
Protein Sci. 2002 Aug;11(8):1888-96. doi: 10.1110/ps.4730102.
An adequate description of entire genomes has to include information on the three-dimensional (3D) structure of proteins. Most of these protein structures will be determined by high-throughput modeling procedures. Thus, a structure-based analysis of the network of protein-protein interactions in genomes requires docking methodologies that are capable of dealing with significant structural inaccuracies in the modeled structures of proteins. We present a systematic study of the applicability of our low-resolution docking method to protein models of different accuracies. A representative nonredundant set of 475 cocrystallized protein-protein complexes was used to build an array of models of each protein in the set. A sophisticated procedure was created to generate the models with RMS deviations of 1, 2, 3,., 10 A from the crystal structure. The docking was performed for all the models, and the predictions were compared with the configurations of the original cocrystallized complexes. Statistical analysis showed that the low-resolution docking can determine the gross structural features of protein-protein interactions for a significant percent of complexes of highly inaccurate protein models. Such predictions may serve as starting points for a more detailed structural analysis, as well as complement experimental and computational data on protein-protein interactions obtained by other techniques.
对整个基因组进行充分描述必须包含有关蛋白质三维(3D)结构的信息。这些蛋白质结构中的大多数将通过高通量建模程序来确定。因此,基于结构分析基因组中蛋白质 - 蛋白质相互作用网络需要对接方法,该方法能够处理蛋白质建模结构中显著的结构不准确问题。我们对低分辨率对接方法在不同精度蛋白质模型中的适用性进行了系统研究。使用一组具有代表性的475个共结晶蛋白质 - 蛋白质复合物的非冗余集来构建该集合中每个蛋白质的一系列模型。创建了一个复杂的程序来生成与晶体结构的均方根偏差为1、2、3、……、10埃的模型。对所有模型进行对接,并将预测结果与原始共结晶复合物的构型进行比较。统计分析表明,低分辨率对接能够为相当比例的高度不准确蛋白质模型的复合物确定蛋白质 - 蛋白质相互作用的总体结构特征。此类预测可作为更详细结构分析的起点,也可补充通过其他技术获得的关于蛋白质 - 蛋白质相互作用的实验和计算数据。