Department of Chemistry, Vanderbilt University, Nashville, TN 37235, USA.
J Mol Model. 2011 Feb;17(2):315-24. doi: 10.1007/s00894-010-0725-5. Epub 2010 May 12.
The PDZ domain is an interaction motif that recognizes and binds the C-terminal peptides of target proteins. PDZ domains are ubiquitous in nature and help assemble multiprotein complexes that control cellular organization and signaling cascades. We present an optimized energy function to predict the binding free energy (ΔΔG) of PDZ domain/peptide interactions computationally. Geometry-optimized models of PDZ domain/peptide interfaces were built using ROSETTA: , and protein and peptide side chain and backbone degrees of freedom are minimized simultaneously. Using leave-one-out cross-validation, ROSETTA: 's energy function is adjusted to reproduce experimentally determined ΔΔG values with a correlation coefficient of 0.66 and a standard deviation of 0.79 kcal mol(-1). The energy function places an increased weight on hydrogen bonding interactions when compared to a previously developed method to analyze protein/protein interactions. Binding free enthalpies (ΔΔH) and entropies (ΔS) are predicted with reduced accuracies of R = 0.60 and R = 0.17, respectively. The computational method improves prediction of PDZ domain specificity from sequence and allows design of novel PDZ domain/peptide interactions.
PDZ 结构域是一种识别并结合靶蛋白 C 末端肽的相互作用基序。PDZ 结构域在自然界中普遍存在,有助于组装控制细胞组织和信号级联的多蛋白复合物。我们提出了一种优化的能量函数,用于计算 PDZ 结构域/肽相互作用的结合自由能(ΔΔG)。使用 ROSETTA 构建了 PDZ 结构域/肽界面的几何优化模型: ,同时最小化蛋白质和肽侧链和主链自由度。通过留一法交叉验证,调整 ROSETTA:的能量函数以重现实验测定的 ΔΔG 值,相关系数为 0.66,标准偏差为 0.79 kcal mol(-1)。与之前用于分析蛋白质/蛋白质相互作用的方法相比,该能量函数增加了对氢键相互作用的权重。结合自由焓(ΔΔH)和熵(ΔS)的预测精度分别为 R=0.60 和 R=0.17。该计算方法提高了基于序列预测 PDZ 结构域特异性的能力,并允许设计新型 PDZ 结构域/肽相互作用。