Computational Insight into the Binding Profile of the Second-Generation PET Tracer PI2620 with Tau Fibrils

Abnormal deposition of hyperphosphorylated tau as neurofibrillary tangles (NFTs) is an important pathological hallmark of Alzheimer's disease (AD) and of other neurodegenerative disorders. A noninvasive positron emission tomography (PET) tracer that quantifies neurofibrillary tangles in vivo can enhance the clinical diagnosis of AD and can also be used to evaluate the efficacy of therapeutics aimed at reducing the abnormal aggregation of the tau fibril in the brain. In this paper, we study the binding profile of fibrillar tau aggregates with a PET tracer PI2620, which is a new second generation tau PET tracer that is presently experimentally and clinically studied. The target structure for the tau fibril is based on cryo-electron microscopy (cryo-EM) structure. A multiscale simulation workflow including molecular docking, molecular dynamics simulation, metadynamics simulation, and free energy calculations was implemented. We find that PI2620 can bind to eight surface binding sites, three core binding sites, and one entry site. The binding at the core sites and entry site is found to be much more favorable than that on the surface sites due to stronger hydrophobic interactions and less solvent exposure. Furthermore, the entry site which is formed by the terminal β-sheets of the fibril is found to have the highest binding affinity to PI2620. Importantly, the binding capacity at the entry site can be much higher than that at other core sites, due to its easy accessibility. Therefore, the entry site is believed to be the major binding site for PI2620. A previous computational study on tracers with tau fibrils reports a maximum of four binding sites. Through use of methods that allow us to locate "cryptic binding sites", we report here additional core sites available for binding and we address the limitation of using the cryo-EM structure alone for structure-based tracer design. Our results could be helpful for elucidating the binding mechanism of imaging tracers with the fibrillar form of tau, a knowledge that in turn can be used to guide the development of compounds with higher affinity and selectivity for tau using structure-based design strategies.