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dc.contributor.advisorLovett, Janet Eleanor
dc.contributor.authorFisher, Stuart Ronan
dc.coverage.spatial302en_US
dc.date.accessioned2023-08-09T09:46:20Z
dc.date.available2023-08-09T09:46:20Z
dc.date.issued2023-11-29
dc.identifier.urihttps://hdl.handle.net/10023/28125
dc.description.abstractDouble electron electron resonance spectroscopy is a versatile and powerful tool for probing paramagnetic systems such metalloproteins and proteins with conjugated spin labels. Chapter 1 introduces EPR theory and the molecular biological concepts that this work is based on. This lays the groundwork with regard to basic knowledge and principles that the following chapters rely on. Chapter 2 collates the methodology used in all aspects of the work conducted in this body of work so that the techniques used may be critically assessed and the work reproduced under the same conditions in future experimentation. Chapter 3 focuses on the in-silico investigation of human calmodulin1 and applies a combinatorial approach utilising bioinformatic and computational techniques towards site selection for site-directed spin labelling and the elucidation of calmodulin1 conformational states through production of simulated models and predictions for expected DEER distance distributions. This ranges from literature reviews, structural region identification and degree of conservation assessment through to AI generated predicted models for secondary and tertiary structures and spin label modelling across different predicted conformational states and predicted distances. Chapter 4 provides a detailed explanation of the experimental work conducted to produce the variants of interest and the subsequent in-vitro process of data acquisition with details on a case-by-case basis. This focuses on the interactions between calmodulin1, Ca²⁺ and the M13 peptide. Chapter 5 takes a look at a comparative labelling technique that takes advantage of a rigid diHis motif for Cu²⁺ spin labelling in combination with MTSL (R1 when peptide-conjugated) for Cu²⁺NTA-R1 measurements that have been previously conducted in chapter 4 and utilises a different technique for distance measurements, RIDME. This chapter also applies other applications of RIDME to different spin systems, this time measuring distances between HisTag-bound Mn²⁺ and R1, taking advantage of another type of spin labelling technique.en_US
dc.description.sponsorship"This work was supported by the UK Research and Innovation (UKRI) Engineering and Physical Sciences Council (EPSRC) EP/N509759/1 Project Ref: 1996168, Carnegie Trust Research Incentive Grant and UK-Weizmann Bluston Making Connections Award."--Fundingen
dc.language.isoenen_US
dc.relationDEER and RIDME Datasets for Calmodulin1 Variants (thesis dataset) Fisher, S. R., University of St Andrews, 4 Aug 2024. DOI: https://doi.org/10.17630/90d0e0d0-e972-4a03-996a-3ef9e075db1aen
dc.relation.urihttps://doi.org/10.17630/90d0e0d0-e972-4a03-996a-3ef9e075db1a
dc.rightsCreative Commons Attribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectDouble electron electron resonance spectroscopyen_US
dc.subjectDEERen_US
dc.subjectRelaxation induced dipolar modulation enhancementen_US
dc.subjectRIDMEen_US
dc.subjectCalmodulinen_US
dc.subjectElectron paramagnetic resonanceen_US
dc.subjectEPRen_US
dc.titleDetermination of conformational changes in the structure of human calmodulin-1 using electron paramagnetic resonance spectroscopyen_US
dc.typeThesisen_US
dc.contributor.sponsorEngineering and Physical Sciences Research Council (EPSRC)en_US
dc.contributor.sponsorCarnegie Trust for the Universities of Scotlanden_US
dc.contributor.sponsorWeizmann UK. Making Connections Granten_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.rights.embargodate2024-08-04
dc.rights.embargoreasonThesis restricted in accordance with University regulations. Restricted until 4th August 2024en
dc.identifier.doihttps://doi.org/10.17630/sta/570
dc.identifier.grantnumber1996168en_US


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