Kuznetsov Igor B
Department of Epidemiology and Biostatistics, Gen*NY*sis Center for Excellence in Cancer Genomics, University at Albany, Rensselaer, New York 12144, USA.
Proteins. 2008 Jul;72(1):74-87. doi: 10.1002/prot.21899.
Ordered conformational changes are an important structural property of proteins and are involved in a variety of fundamental biological activities. Large-scale analyses of the implications of such changes for protein function and dysfunction require efficient methods for automated recognition of conformationally variable residue positions. The goal of this work was to study sequence and low-resolution structural properties of residue positions that change backbone conformation upon changes in protein environment and the utility of these properties for automated recognition of such conformationally variable positions. This study was performed using a large nonredundant set of experimentally characterized proteins that undergo ordered conformational transitions obtained from the Database of Macromolecular Movements. The results of this study show that ordered changes in backbone conformation are not limited to solvent accessible loop regions. A considerable fraction of conformationally variable positions is observed in helices and strands, and in buried positions. Conformationally variable positions are less conserved in evolution. Local patterns of (a) sequence neighbors, (b) evolutionary conservation, and (c) solvent accessibility can be used to predict conformationally variable positions with balanced sensitivity and specificity, albeit with large variance at the level of individual proteins. However, including a pattern of secondary structure into the prediction scheme results in a highly unbalanced performance when all conformationally variable positions located in regular secondary structure are misclassified. Application of the present methodology to the prion protein (PrP) shows that conformationally variable positions predicted in its ordered C-terminal domain are located within segments presumed to be involved in refolding of PrP.
有序的构象变化是蛋白质的一项重要结构特性,并且参与多种基本的生物学活动。对这类变化对蛋白质功能及功能失调影响的大规模分析需要高效的方法来自动识别构象可变的残基位置。这项工作的目标是研究在蛋白质环境变化时主链构象发生改变的残基位置的序列和低分辨率结构特性,以及这些特性在自动识别此类构象可变位置方面的效用。本研究使用了从大分子运动数据库中获取的一组经过实验表征的、经历有序构象转变的大量非冗余蛋白质。这项研究的结果表明,主链构象的有序变化并不局限于溶剂可及的环区。在螺旋、链以及埋藏位置中都观察到相当一部分构象可变位置。构象可变位置在进化过程中保守性较低。(a)序列邻域、(b)进化保守性以及(c)溶剂可及性的局部模式可用于以平衡的敏感性和特异性预测构象可变位置,尽管在单个蛋白质水平上存在较大差异。然而,当位于规则二级结构中的所有构象可变位置被错误分类时,将二级结构模式纳入预测方案会导致性能高度不平衡。将本方法应用于朊病毒蛋白(PrP)表明,在其有序的C端结构域中预测的构象可变位置位于推测参与PrP重折叠的片段内。