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dc.contributor.advisorLovett, Janet Eleanor
dc.contributor.authorRussell, Hannah
dc.coverage.spatial244en_US
dc.date.accessioned2024-04-22T15:20:26Z
dc.date.available2024-04-22T15:20:26Z
dc.date.issued2024-06-10
dc.identifier.urihttps://hdl.handle.net/10023/29730
dc.description.abstractPulse dipolar electron paramagnetic resonance (PD EPR) spectroscopy is a technique with the ability to measure dipole-dipole interactions between unpaired electrons. Through careful analysis, distances between specifically selected protein residues can be extracted, and with it, protein structures and changes can be observed. In this thesis, the utility of two methods of PD EPR, double electron electron resonance (DEER) and relaxation induced dipolar modulation enhancement (RIDME), are tested, and their advantages and disadvantages elucidated, alongside a direct and detailed comparison of the numerous analysis softwares available to process their respective data. After establishing the experimental methods, a foray into a young technique in the field is introduced. Many conformations within a protein sample are often invisible to spectroscopic measurement due to being sparsely populated. However, by applying high pressures to the proteins, we can reversibly shift populations of conformational equilibria and thereby make these states visible and ready for measurement. Within, the details of building and testing a high pressure system capable of working in combination with DEER spectroscopy are discussed, alongside two research projects centring two different and distinct protein samples that prove high pressure EPR to be an exciting and promising experimental technique.en_US
dc.language.isoenen_US
dc.relationUnder Pressure: Measuring Nanometre Distance Changes in Biomolecules (thesis data) Russell, H.,University of St Andrews, 21 Apr 2026. DOI: https://doi.org/10.17630/74f265b7-6e42-4b3d-8ac2-20bc3e5c7d97en
dc.relation
dc.relationRussell, H., Stewart, R., Prior, C., Oganesyan, V. S., Gaule, T. G., & Lovett, J. E. (2021). DEER and RIDME measurements of the nitroxide-spin labelled copper-bound amine oxidase homodimer from arthrobacter globiformis. Applied Magnetic Resonance, First Online. Advance online publication. https://doi.org/10.1007/s00723-021-01321-6en
dc.relation
dc.relationRussell, H., Cura, R., & Lovett, J. E. (2022). DEER data analysis software: a comparative guide. Frontiers in Molecular Biosciences, 9, Article 915167. https://doi.org/10.3389/fmolb.2022.915167en
dc.relation
dc.relationKeeley, J., Choudhury, T., Galazzo, L., Bordignon, E., Feintuch, A., Goldfarb, D., Russell, H., Taylor, M. J., Lovett, J. E., Eggeling, A., Fabregas Ibanez, L., Keller, K., Yulikov, M., Jeschke, G., & Kuprov, I. (2022). Neural networks in pulsed dipolar spectroscopy: a practical guide. Journal of Magnetic Resonance, 338, Article 107186. https://doi.org/10.1016/j.jmr.2022.107186en
dc.relation.urihttps://doi.org/10.17630/74f265b7-6e42-4b3d-8ac2-20bc3e5c7d97en
dc.relation.urihttps://doi.org/10.1007/s00723-021-01321-6
dc.relation.urihttps://doi.org/10.3389/fmolb.2022.915167
dc.relation.urihttps://doi.org/10.1016/j.jmr.2022.107186
dc.rightsCreative Commons Attribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectElectron paramagnetic resonanceen_US
dc.subjectRIDMEen_US
dc.subjectHigh pressure EPRen_US
dc.subjectDEER analysisen_US
dc.subjectAGAOen_US
dc.subjectCalmodulinen_US
dc.subjectAsLOV2en_US
dc.subjectEPR/ESRen_US
dc.subjectDEER/PELDORen_US
dc.titleUnder pressure : measuring nanometre distance changes in biomoleculesen_US
dc.typeThesisen_US
dc.contributor.sponsorEngineering and Physical Sciences Research Council (EPSRC)en_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.rights.embargodate2026-04-21
dc.rights.embargoreasonThesis restricted in accordance with University regulations. Restricted until 21 April 2026en
dc.identifier.doihttps://doi.org/10.17630/sta/865
dc.identifier.grantnumberEP/R513337/1en_US


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