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WW结构域与肽相互作用的比较结构和能量分析。

Comparative structural and energetic analysis of WW domain-peptide interactions.

作者信息

Schleinkofer Karin, Wiedemann Urs, Otte Livia, Wang Ting, Krause Gerd, Oschkinat Hartmut, Wade Rebecca C

机构信息

European Molecular Biology Laboratory, Meyerhofstr. 1, 69012 Heidelberg, Germany.

出版信息

J Mol Biol. 2004 Nov 26;344(3):865-81. doi: 10.1016/j.jmb.2004.09.063.

Abstract

WW domains are small globular protein interaction modules found in a wide spectrum of proteins. They recognize their target proteins by binding specifically to short linear peptide motifs that are often proline-rich. To infer the determinants of the ligand binding propensities of WW domains, we analyzed 42 WW domains. We built models of the 3D structures of the WW domains and their peptide complexes by comparative modeling supplemented with experimental data from peptide library screens. The models provide new insights into the orientation and position of the peptide in structures of WW domain-peptide complexes that have not yet been determined experimentally. From a protein interaction property similarity analysis (PIPSA) of the WW domain structures, we show that electrostatic potential is a distinguishing feature of WW domains and we propose a structure-based classification of WW domains that expands the existent ligand-based classification scheme. Application of the comparative molecular field analysis (CoMFA), GRID/GOLPE and comparative binding energy (COMBINE) analysis methods permitted the derivation of quantitative structure-activity relationships (QSARs) that aid in identifying the specificity-determining residues within WW domains and their ligand-recognition motifs. Using these QSARs, a new group-specific sequence feature of WW domains that target arginine-containing peptides was identified. Finally, the QSAR models were applied to the design of a peptide to bind with greater affinity than the known binding peptide sequences of the yRSP5-1 WW domain. The prediction was verified experimentally, providing validation of the QSAR models and demonstrating the possibility of rationally improving peptide affinity for WW domains. The QSAR models may also be applied to the prediction of the specificity of WW domains with uncharacterized ligand-binding properties.

摘要

WW结构域是在多种蛋白质中发现的小型球状蛋白质相互作用模块。它们通过特异性结合通常富含脯氨酸的短线性肽基序来识别其靶蛋白。为了推断WW结构域配体结合倾向的决定因素,我们分析了42个WW结构域。我们通过比较建模并辅以肽库筛选的实验数据,构建了WW结构域及其肽复合物的三维结构模型。这些模型为尚未通过实验确定的WW结构域-肽复合物结构中肽的取向和位置提供了新的见解。通过对WW结构域结构的蛋白质相互作用特性相似性分析(PIPSA),我们表明静电势是WW结构域的一个显著特征,并提出了一种基于结构的WW结构域分类方法,该方法扩展了现有的基于配体的分类方案。应用比较分子场分析(CoMFA)、GRID/GOLPE和比较结合能(COMBINE)分析方法,可以推导定量构效关系(QSARs),有助于确定WW结构域及其配体识别基序内的特异性决定残基。利用这些QSARs,确定了靶向含精氨酸肽的WW结构域的一组新的组特异性序列特征。最后,将QSAR模型应用于设计一种肽,使其与yRSP5-1 WW结构域的已知结合肽序列相比具有更高的亲和力。该预测通过实验得到验证,为QSAR模型提供了验证,并证明了合理提高肽对WW结构域亲和力的可能性。QSAR模型也可应用于预测具有未表征配体结合特性的WW结构域的特异性。

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