화학공학소재연구정보센터
Journal of Physical Chemistry B, Vol.121, No.22, 5544-5552, 2017
Solid-State-NMR-Structure-Based Inhibitor Design to Achieve Selective Inhibition of the Parallel-in-Register beta-Sheet versus Antiparallel lowa Mutant beta-Amyloid Fibrils
Solid-state nuclear magnetic resonance (ssNMR) spectroscopy has been widely applied to characterize the high-resolution structures of beta-amyloid (A beta) fibrils. While these structures provide crucial molecular insights on the deposition of amyloid plaques in Alzheimers diseases (AD), ssNMR structures have been rarely used so far as the basis for designing inhibitors. It remains a challenge because the ssNMR-based A beta fibril structures were usually obtained with sparsely isotope-labeled peptides with limited experimental constraints, where the structural models, especially the side-chain coordinates, showed restricted precision. However, these structural models often possess a higher accuracy within the hydrophobic core regions with more well-defined experimental data, which provide potential targets for the molecular design. This work presents an ssNMR-based molecular design to achieve selective inhibition of a particular type of A beta fibrillar structure, which was formed with the Iowa mutant of A beta with parallel-in-register beta-sheet hydrophobic core. The results show that short peptides that mimic the C-terminal beta-strands of the fibril may have a preference in binding to the parallel A beta fibrils rather than the antiparallel fibrils, mainly due to the differences in the high-resolution structures in the fibril elongation interfaces. The Iowa mutant A beta fibrils are utilized in this work mainly as a model to demonstrate the feasibility of the strategy because it is relatively straightforward to distinguish the parallel and antiparallel fibril structures using ssNMR. Our results suggest that it is potentially feasible to design structure-selective inhibitors and/or diagnostic agents to A beta fibrils using ssNMR-based structural models.