The ability of the BACE-1 catalytic dyad to adopt multiple protonation states and the conformational flexibility of the active site have hampered the reliability of computational screening campaigns carried out on this drug target for Alzheimer's disease. Here, we propose a protocol that, for the first time, combining quantum mechanical calculations, molecular dynamics, and conformational ensemble virtual ligand screening addresses these issues simultaneously. The encouraging results prefigure this approach as a valuable tool for future drug discovery campaigns.
In this study, we report on a virtual ligand screening protocol optimized to identify fragments endowed with activity at multiple targets. Thanks to this protocol, we were able to identify a fragment that displays activity in the low-micromolar range at both β-secretase 1 (BACE-1) and glycogen synthase kinase 3β (GSK-3β). These two structurally and physiologically unrelated enzymes likely contribute, through different pathways, to the onset of Alzheimer's disease (AD). Therefore, their simultaneous inhibition holds great potential in exerting a profound effect on AD. In perspective, the strategy outlined herein can be adapted to other target combinations.
BACE-1 is a membrane associated aspartyl protease and is one of the enzymes responsible for the hydrolysis of the amyloid precursor protein. Due to its central role in the generation of the amyloid-β peptide, it is considered as a primary drug target for Alzheimer's disease. BACE-1 has been the focus of many drug discovery programs aimed at identifying inhibitors that effectively block this enzyme and trigger the sought therapeutic effects. Thanks to the availability of a large number of crystal structures of the catalytic domain of this enzyme, computational methods, ranging from molecular dynamics simulations, quantum mechanical calculations and ligand docking, have played a fundamental role in almost every hit discovery and hit optimization campaign performed on this target. The present article reviews the latest computational modeling and drug discovery efforts that have been carried out on this target.
The inside cover picture shows a symbolic representation of the effect associated with a multitarget compound. Physio‐pathological processes can be envisioned as complex networks with proteins for nodes. According to the core idea of polypharmacology, the ability of a multitarget compound to selectively interact with only key nodes can deeply perturb the overall network structure thus delivering powerful and long‐lasting effects. In this light, within the framework of Alzheimer's disease, a small organic molecule with concurrent activity at BACE‐1 and GSK‐3 (blue nodes in the pictures) holds great therapeutic potential, as both targets are likely implicated in the onset of the disease but are otherwise unrelated. More information can be found in the Communication by Giovanni Bottegoni et al. on page 1259 in Issue 12, 2016 (DOI: 10.1002/cmdc.201500521).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.