Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.807928
Title: Characterising side-chain motions in proteins by Nuclear Magnetic Resonance and Molecular Dynamics to report on function and regulation
Author: Siemons, Lucas
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2020
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Abstract:
Analysing the motions proteins undergo is vital for understanding a wide variety of biological processes. In particular side chains provide a wide range of chemical groups allowing proteins to carry out diverse functions such as catalysis and regulating gene expression. A key theme in this thesis is understanding the roles side-chains play in protein dynamics. To do this we use molecular dynamics, density functional theory and nuclear magnetic resonance. The first part of this work describes the relationship between the isoleucine side- chain conformation and chemical shift. We show there is a clear dependence between the χ angles and the observed side-chain’s 13C chemical shifts. This relationship is then used to determine rotamer distributions in the L24A FF domain’s excited state and the 42 kDa membrane complex DsbA-DsbB. In addition we use our methodology to show that the isoleucine random coil distribution in two model peptides is substantially different to the statistical distribution derived from the PDB. The second part of this thesis focuses on characterising the dynamic processes reg- ulating histone deacetylase 8. Here two approaches are used. The first concentrates on molecular dynamics to show the allosteric connection between the active site, the bind- ing rail and I19, a naturally occurring mutation site in patients. In conjunction with this we aimed to carry out a backbone independent methyl assignment. To aid joining intra- residue methyls we developed the HMBC-HMQC that utilises scalar coupling based transfers. This has many advantages over NOE based approaches as it directly reports on the bonding network, greatly simplifying the interpretation of crowded regions of the spectra. In addition to this we also made substantial progress towards assigning the ILV methyls by determining the residue types, joining intra-residue methyls and building an NOE network between the observed resonances.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.807928  DOI: Not available
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