School of Physics , University College Dublin , Dublin D04 V1W8 , Ireland.
Institute for Discovery , University College Dublin , Dublin D04 V1W8 , Ireland.
J Phys Chem B. 2018 Dec 13;122(49):11535-11545. doi: 10.1021/acs.jpcb.8b07423. Epub 2018 Nov 29.
Nanoscale fibrils formed by amyloid peptides have a polymorphic character, adopting several types of molecular structures in similar growth conditions. As shown by experimental (e.g., solid-state NMR) and computational studies, amyloid fibril polymorphism hinders both the structural characterization of Alzheimer's Aβ amyloid protofilaments and fibrils at a molecular level, as well as the possible applications (e.g., development of drugs or biomarkers) that rely on similar, controlled molecular arrangements of the Aβ peptides in amyloid fibril structures. We have explored the use of several contact potentials for the efficient identification of minimal sequence mutations that could enhance the stability of specific fibril structures while simultaneously destabilizing competing topologies, controlling thus the amount of structural polymorphism in a rational way. We found that different types of contact potentials, while having only partial accuracy on their own, lead to similar results regarding ranking the compatibility of wild-type (WT) and mutated amyloid sequences with different fibril morphologies. This approach allows exhaustive screening and assessment of possible mutations and the identification of minimal consensus mutations that could stabilize fibrils with the desired topology at the expense of other topology types, a prediction that is further validated using atomistic molecular dynamics with explicit water molecules. We apply this two-step multiscale (i.e., residue and atomistic-level) approach to predict and validate mutations that could bias either parallel or antiparallel packing in the core Alzheimer's Aβ amyloid fibril models based on solid-state NMR experiments. Besides shedding new light on the molecular origins of structural polymorphism in WT Aβ fibrils, our study could also lead to efficient tools for assisting future experimental approaches for amyloid fibril determination, and for the development of biomarkers or drugs aimed at interfering with the stability of amyloid fibrils, as well as for the future design of amyloid fibrils with a controlled (e.g., reduced) level of structural polymorphism.
纳米级纤维由淀粉样肽形成,具有多态性,在相似的生长条件下采用几种类型的分子结构。实验(例如固态 NMR)和计算研究表明,淀粉样纤维的多态性阻碍了阿尔茨海默病 Aβ淀粉样原纤维和纤维在分子水平上的结构表征,以及可能的应用(例如药物或生物标志物的开发),这些应用依赖于 Aβ肽在淀粉样纤维结构中的类似、受控的分子排列。我们探索了使用几种接触势来有效地识别最小序列突变,这些突变可以增强特定纤维结构的稳定性,同时使竞争拓扑结构失稳,从而以合理的方式控制结构多态性的数量。我们发现,不同类型的接触势虽然本身只有部分准确性,但在对野生型(WT)和突变淀粉样序列与不同纤维形态的兼容性进行排序时,会产生相似的结果。这种方法允许对可能的突变进行详尽的筛选和评估,并确定最小的共识突变,这些突变可以稳定所需拓扑结构的纤维,而牺牲其他拓扑类型,使用包含显式水分子的原子分子动力学进一步验证了这一预测。我们应用这种两步多尺度(即残基和原子尺度)方法来预测和验证突变,这些突变可以改变基于固态 NMR 实验的阿尔茨海默病 Aβ淀粉样纤维模型中核心的平行或反平行堆积。除了揭示 WT Aβ纤维结构多态性的分子起源外,我们的研究还可以为未来的淀粉样纤维确定实验方法提供有效的工具,并为开发旨在干扰淀粉样纤维稳定性的生物标志物或药物,以及未来设计具有受控(例如,降低)结构多态性的淀粉样纤维提供帮助。