Switchable & Biomimetic Self-Assembly of Guanosines: Characterising the Interplay of Structure-Directing Non-Covalent Interactions by Solid-State NMR

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Nature exploits the interactions between organic molecules to perform the functions of life, e.g., the manufacture of proteins by reading the code of our DNA or the pumping of metal ions in and out of a cell through ion channels in the cellular membranes. Chemists are striving to understand how to mimic this fine control over the intermolecular interactions that drive how specific molecules assemble together. This project focuses on synthetic derivatives based on guanosine that is one of the constituents of DNA. Over the last 15 years, a wide variety of such compounds have been synthesised in laboratories across the world which exhibit a rich diversity of nanostructures. These systems have the potential to be exploited as novel materials, e.g., in molecular electronic devices, or to extract specific ions, e.g., radioactive caesium, or in the construction of biomimetic ion channels. Of particular interest are smart materials, where the adopted self-assembly can be altered by an external stimulus, e.g.,light.The availability of analytical tools to view specific intermolecular interactions is a pre-requisite for the informed design of new materials and biomimetic systems. Of key importance are so-called hydrogen bonds where a hydrogen atom (H) is shared between an acceptor atom, e.g., oxygen (O) or nitrogen (N) and a donor group, e.g., OH or NH. Observing such interactions is particularly challenging in the solid state for guanosine derivatives which are usually composed of a rigid core with attached flexible chains whose dynamics prevents the determination of the 3D structure using the widely employed method of X-ray diffraction, while surface-based imaging techniques lack the resolution to view the intermolecular interactions. Instead, this project makes use of the technique of nuclear magnetic resonance (NMR), which exploits the inherent magnetism of atomic nuclei. In very strong magnetic fields that are a few hundred thousand times stronger than the Earth's magnetic field, the nuclear magnetic moments can be induced to change their alignment with respect to the external magnetic field using the energy associated with radio waves of a specific frequency. Measuring these frequencies reveals intricate details about, first, the electronic environment of an atomic nucleus and hence its chemical structure and, second, how the different magnetic moments are arranged, allowing distances between atoms to be measured very accurately. While most NMR experiments are performed on liquid samples, where the tumbling of the molecules increases the resolution of different spectral lines, solid-state samples can be analysed using a method called magic-angle spinning (MAS) whereby the sample is rotated rapidly around an axis inclined at an angle of 54.7 degrees to the external magnetic field. In preliminary work, using MAS solid-state NMR, the Warwick group have shown that two different types of self-assembly exhibited by guanosine derivatives, namely ribbon-like and quartet-like arrangements, can be distinguished. Working together with two leading overseas groups who pioneered the research field of synthetic guanosine derivatives and are at the forefront of demonstrating new applications, this project will systematically investigate how changing the solvent, pH, or temperature affects the exhibited self-assembly. A particular focus will be derivatives that exhibit tunable self-assembly and form biomimetic ion channels. Experiments will be carried out using state-of-the-art infrastructure including the UK 850 MHz solid-state NMR facility. By comparing the new insight provided by solid-state NMR to that obtained previously in the solution-state and on surfaces, the factors determining similarities and differences between how self-assembly is controlled in different phases (solid vs.solution) and bulk vs surface effects will be elucidated. By establishing structure-property relationships, this will enable the design of better new materials.