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Steady-state fluorescence spectroscopy has a central role not only for sensing applications, but also in biophysics and imaging. Light switching probes, such as ruthenium dipyridophenazine complexes, have been used to study complex systems such as DNA, RNA, and amyloid fibrils. Nonetheless, steady-state spectroscopy is limited in the kind of information it can provide. In this paper, we use time-resolved spectroscopy for studying binding interactions between amyloid-β fibrillar structures and photoluminescent ligands. Using time-resolved spectroscopy, we demonstrate that ruthenium complexes with a pyrazino phenanthroline derivative can bind to two distinct binding sites on the surface of fibrillar amyloid-β, in contrast with previous studies using steady-state photoluminescence spectroscopy, which only identified one binding site for similar compounds. The second elusive binding site is revealed when deconvoluting the signals from the time-resolved decay traces, allowing the determination of dissociation constants of 3 and 2.2 μM. Molecular dynamic simulations agree with two binding sites on the surface of amyloid-β fibrils. Time-resolved spectroscopy was also used to monitor the aggregation of amyloid-β in real-time. In addition, we show that common polypyridine complexes can bind to amyloid-β also at two different binding sites. Information on how molecules bind to amyloid proteins is important to understand their toxicity and to design potential drugs that bind and quench their deleterious effects. The additional information contained in time-resolved spectroscopy provides a powerful tool not only for studying excited state dynamics but also for sensing and revealing important information about the system including hidden binding sites. 

The hydrolysis of extremely stable peptide and phosphoester bonds by metalloenzymes is of great interest in biotechnology and industry. However, due to various shortcomings only a handful of these enzymes have been used for industrial applications. Therefore, in the last two decades intensive scientific efforts have been made in rational development of small molecules to imitate the activities of natural enzymes. Despite these efforts, their currently available synthetic analogues are inferior in terms of selectivity, catalytic rate, and turnover and the designing of efficient artificial metalloenzymes remains a distant goal. This is a challenging area of research that necessitates a rigorous integration between experiments and theory. The realization of this goal requires knowledge of the catalytic activities of both enzymes and their existing analogues and an effective fusion of that knowledge. This article reviews several studies in which a plethora of computational techniques have been successfully employed to investigate the functioning of two chemically promiscuous mono‐ and binuclear metalloenzymes (insulin degrading enzyme and glycerophosphodiesterase) and two synthetic analogues. These studies will help us derive fundamental principles of peptide and phosphoester hydrolysis and pave the way to design efficient small molecule catalysts for these reactions.

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Structure and Mechanism > Reaction Mechanisms and Catalysis