Esteras-Chopo Alexandra, Morra Giulia, Moroni Elisabetta, Serrano Luis, Lopez de la Paz Manuela, Colombo Giorgio
Computational and Structural Biology Unit, European Molecular Biology Laboratory, Heidelberg, Baden-Württemberg, Germany.
J Mol Biol. 2008 Oct 31;383(1):266-80. doi: 10.1016/j.jmb.2008.07.076. Epub 2008 Jul 31.
The self-assembly of soluble proteins and peptides into beta-sheet-rich oligomeric structures and insoluble fibrils is a hallmark of a large number of human diseases known as amyloid diseases. Drugs that are able to interfere with these processes may be able to prevent and/or cure these diseases. Experimental difficulties in the characterization of the intermediates involved in the amyloid formation process have seriously hampered the application of rational drug design approaches to the inhibition of amyloid formation and growth. Recently, short model peptide systems have proved useful in understanding the relationship between amino acid sequence and amyloid formation using both experimental and theoretical approaches. Moreover, short D-peptide sequences have been shown to specifically interfere with those short amyloid stretches in proteins, blocking oligomer formation or disassembling mature fibrils. With the aim of rationalizing which interactions drive the binding of inhibitors to nascent beta-sheet oligomers, in this study, we have carried out extensive molecular dynamics simulations of the interaction of selected d-peptide sequences with oligomers of the target model sequence STVIIE. Structural analysis of the simulations helped to identify the molecular determinants of an inhibitory core whose conformational and physicochemical properties are actually shared by nonpeptidic small-molecule inhibitors of amyloidogenesis. Selection of one of these small molecules and experimental validation against our model system proved that it was indeed an effective inhibitor of fibril formation by the STVIIE sequence, supporting theoretical predictions. We propose that the inhibitory determinants derived from this work be used as structural templates in the development of pharmacophore models for the identification of novel nonpeptidic inhibitors of aggregation.
可溶性蛋白质和肽自组装成富含β-折叠的寡聚结构和不溶性纤维是许多被称为淀粉样疾病的人类疾病的标志。能够干扰这些过程的药物可能能够预防和/或治愈这些疾病。淀粉样蛋白形成过程中所涉及中间体表征方面的实验困难严重阻碍了合理药物设计方法在抑制淀粉样蛋白形成和生长方面的应用。最近,短模型肽系统已被证明在使用实验和理论方法理解氨基酸序列与淀粉样蛋白形成之间的关系方面很有用。此外,短D-肽序列已被证明能特异性干扰蛋白质中的那些短淀粉样片段,阻止寡聚体形成或拆解成熟纤维。为了阐明哪些相互作用驱动抑制剂与新生β-折叠寡聚体的结合,在本研究中,我们对选定的D-肽序列与目标模型序列STVIIE的寡聚体之间的相互作用进行了广泛的分子动力学模拟。模拟的结构分析有助于确定抑制核心的分子决定因素,其构象和物理化学性质实际上为淀粉样蛋白生成的非肽类小分子抑制剂所共有。选择其中一种小分子并针对我们的模型系统进行实验验证,证明它确实是STVIIE序列纤维形成的有效抑制剂,支持了理论预测。我们建议将这项工作中得出的抑制决定因素用作药效团模型开发中的结构模板,以鉴定新型非肽类聚集抑制剂。