Xu Liang, Ma Buyong, Nussinov Ruth, Thompson Damien
Department of Physics, Bernal Institute, University of Limerick , Limerick, Ireland.
Basic Science Program, Leidos Biomedical Research, Inc. Cancer and Inflammation Program, National Cancer Institute , Frederick, Maryland 21702, United States.
ACS Chem Neurosci. 2017 Apr 19;8(4):837-849. doi: 10.1021/acschemneuro.6b00406. Epub 2017 Jan 27.
The pathogenesis of Parkinson's disease is closely associated with the aggregation of the α-synuclein protein. Several familial mutants have been identified and shown to affect the aggregation kinetics of α-synuclein through distinct molecular mechanisms. Quantitative evaluation of the relative stabilities of the wild type and mutant fibrils is crucial for understanding the aggregation process and identifying the key component steps. In this work, we examined two topologically different α-synuclein fibril structures that are either determined by solid-state NMR method or modeled based on solid-state NMR data, and characterized their conformational properties and thermodynamic stabilities using molecular dynamics simulations. We show that the two fibril morphologies have comparable size, solvent exposure, secondary structures, and similar molecule/peptide binding modes; but different stabilities. Familial mutations do not significantly alter the overall fibril structures but shift their relative stabilities. Distinct mutations display altered fibril conformational behavior, suggesting different propagation preferences, reminiscent of cross-seeding among prion strains and tau deletion mutants. The simulations quantify the hydrophobic and electrostatic interactions, as well as N-terminal dynamics, that may contribute to the divergent aggregation kinetics that has been observed experimentally. Our results indicate that small molecule and peptide inhibitors may share the same binding region, providing molecular recognition that is independent of fibril conformation.
帕金森病的发病机制与α-突触核蛋白的聚集密切相关。已鉴定出几种家族性突变体,并表明它们通过不同的分子机制影响α-突触核蛋白的聚集动力学。对野生型和突变体原纤维的相对稳定性进行定量评估对于理解聚集过程和确定关键组成步骤至关重要。在这项工作中,我们研究了两种拓扑结构不同的α-突触核蛋白原纤维结构,一种是通过固态核磁共振方法确定的,另一种是基于固态核磁共振数据建模的,并使用分子动力学模拟表征了它们的构象性质和热力学稳定性。我们表明,这两种原纤维形态具有相当的尺寸、溶剂暴露、二级结构以及相似的分子/肽结合模式;但稳定性不同。家族性突变不会显著改变原纤维的整体结构,但会改变它们的相对稳定性。不同的突变显示出原纤维构象行为的改变,表明不同的传播偏好,这让人联想到朊病毒株和tau缺失突变体之间的交叉播种。模拟量化了可能导致实验中观察到的不同聚集动力学的疏水和静电相互作用以及N端动力学。我们的结果表明,小分子和肽抑制剂可能共享相同的结合区域,提供与原纤维构象无关的分子识别。