Dynamic combinatorial chemistry.
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Biomedical subjects
Publications and source records attributed to Peter T Corbett.
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Dynamic combinatorial chemistry is a powerful tool for the discovery of strong binders (synthetic receptors or ligands) because binding causes a shift in the equilibrium of library members toward those that bind well. Ideally, the best binders are selectively amplified. However, theoretical studies predict this is not always the case. This paper describes the first quantitative experimental evidence proving that, under special circumstances, the preferential amplification of suboptimal synthetic receptors can indeed occur. Our results also demonstrate that reducing the amount of guest in the library can rectify such undesirable behavior and ensures selective amplification of the fittest receptor.
A high-affinity, induced-fit receptor for NMe4I was discovered using dynamic combinatorial chemistry. The addition of the guest to a dynamic combinatorial library made using a racemic mixture of chiral building blocks caused the strong and highly diastereoselective amplification of the receptor at the expense of other library components. The receptor and its mode of binding were characterized by NMR, ITC, and re-equilibration experiments, from which it was deduced that the receptor probably forms a folded four-stave barrel shape on binding of the guest.
We present a versatile computer model of diverse dynamic combinatorial libraries, and examine how molecular recognition between library members and a template can be used to amplify the best binders. The correlation between host-guest binding and amplification was examined for a set of 50 libraries with >300 components each over a wide range of template and building block concentrations. Depending on these concentrations correlations vary from poor (when using a large excess of template) to good (for very dilute libraries and/or substoichiometric template concentrations), highlighting the need to choose the experimental conditions for dynamic combinatorial libraries thoughtfully.
Using simple computer simulations of model dynamic combinatorial libraries, we show that the best binders can be amplified to useful concentrations in libraries containing 10-10(6) compounds. [structure: see text]