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不同正电子发射断层扫描 Tau 示踪剂与 Tau 纤维上的多个结合位点结合:来自计算建模的见解。

Different Positron Emission Tomography Tau Tracers Bind to Multiple Binding Sites on the Tau Fibril: Insight from Computational Modeling.

机构信息

Division of Theoretical Chemistry and Biology, School of Biotechnology , Royal Institute of Technology (KTH) , AlbaNova University Center, S-106 91 Stockholm , Sweden.

Department of Neurobiology, Care Sciences and Society, Center of Alzheimer Research, Division of Clinical Geriatric , Karolinska Institutet , Huddinge , S-141 86 Stockholm , Sweden.

出版信息

ACS Chem Neurosci. 2018 Jul 18;9(7):1757-1767. doi: 10.1021/acschemneuro.8b00093. Epub 2018 May 2.

Abstract

Using the recently reported cryo-EM structure for the tau fibril [ Fitzpatrick et al. (2017) Nature 547, 185-190 ], which is a potential target concerning Alzheimer's disease, we present the first molecular modeling studies on its interaction with various positron emission tomography (PET) tracers. Experimentally, based on the binding assay studies, at least three different high-affinity binding sites have been reported for tracers in the tau fibril. Herein, through integrated modeling using molecular docking, molecular dynamics, and binding free energy calculations, we provide insight into the binding patterns of various tracers to the tau fibril. We suggest that there are four different high-affinity binding sites available for many of the studied tracers showing varying binding affinity to different binding sites. Thus, PBB3 binds most strongly to site 4, and interestingly, this site is not a preferable site for any other tracers. For THK5351, our data show that it strongly binds to sites 3 and 1, the former one being more preferable. We also find that MK6240 and T807 bind to site 1 specifically. The modeling data also give some insight into whether a tracer bound to a specific site can be replaced by others or not. For example, the displacement of T807 by PBB3 as reported experimentally can also be explained and attributed to the larger binding affinity of the latter compound in all binding sites. The binding free energy results explain very well the small binding affinity of THK523 compared to all the aryl quinoline moieties containing THK tracers. The ability of certain tau tracers, like FDDNP and THK523, to bind to amyloid fibrils has also been investigated. Furthermore, such off-target interaction of tau tracers with amyloid beta fibrils has been validated using a quantum mechanical fragmentation approach.

摘要

利用最近报道的 tau 纤维的冷冻电镜结构[Fitzpatrick 等人,(2017)自然 547,185-190],这是一个与阿尔茨海默病相关的潜在靶点,我们首次对其与各种正电子发射断层扫描(PET)示踪剂的相互作用进行了分子建模研究。在实验中,基于结合测定研究,已经报道了在 tau 纤维中至少有三个不同的高亲和力结合位点用于示踪剂。在此,通过使用分子对接、分子动力学和结合自由能计算进行综合建模,我们深入了解了各种示踪剂与 tau 纤维的结合模式。我们认为,对于许多研究示踪剂来说,有四个不同的高亲和力结合位点,它们对不同的结合位点表现出不同的结合亲和力。因此,PBB3 与 site4 结合最强,有趣的是,这个位点不是其他任何示踪剂的首选结合位点。对于 THK5351,我们的数据表明它强烈结合 site3 和 site1,前者更受青睐。我们还发现,MK6240 和 T807 特异性结合 site1。建模数据还提供了一些关于结合到特定位点的示踪剂是否可以被其他示踪剂取代的见解。例如,实验中报道的 T807 被 PBB3 取代也可以得到解释,这归因于后者在所有结合位点的结合亲和力更大。结合自由能结果很好地解释了与所有含芳基喹啉部分的 THK 示踪剂相比,THK523 的小结合亲和力。某些 tau 示踪剂,如 FDDNP 和 THK523,与淀粉样纤维结合的能力也已经被研究过。此外,使用量子力学碎片方法验证了 tau 示踪剂与淀粉样β纤维的这种非靶标相互作用。

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