Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711686
Title: Methods development for structural biology
Author: Zeldin, Robert Oliver
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2013
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Abstract:
Two research questions are investigated here: the first, major, section addresses the problem of uneven distributions of dose (absorbed energy per unit mass) in crystals used for macromolecular crystallography (MX), and the second presents the develop- ment of a high-throughput metalloprotein characterisation technique, HT microPIXE. In MX, the advent of X-ray microbeam data collection has led to uneven distributions of dose within the crystal volume becoming increasingly common. In these cases, the rotation method creates a highly damaged central region of crystal that stays within the beam throughout exposure, and less damaged outer regions, which are introduced during rotation. This thesis presents a new software program, raddose-3d, which performs a full 3D simulation of the profile of absorbed energy (the dose state) within a crystal during X-ray exposure. In order to utilise this time resolved, 3D picture of the dose state of the crystal, a new metric – Diffraction Weighted Dose – is proposed. This metric is then experimentally validated, and is found to summarise the dose state into a single dose value, which reflects the damage state of the crystal. Simulations are performed using raddose-3d and Diffraction Weighted Dose to compare possible dose spreading strategies, and generalised recommendations for MX experimentalists are offered. Uniquely identifying the species and stoichiometry of bound metals in protein sam- ples is a significant challenge for biophysical characterisation. Low throughput mi- crobeam Proton Induced X-ray Emission (microPIXE) provides an unambiguous anal- ysis of these properties, but has a limited throughput of ∼10 samples per day. As a consequence, its applicability has been restricted to niche cases. This thesis presents significant progress, including proof of principle experiments, on developing sample preparation methods, data acquisition systems, and data analysis protocols to increase this throughput by an order of magnitude, opening up major new applications for the technique.
Supervisor: Garman, Elspeth Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.711686  DOI: Not available
Keywords: Biophysics ; Structural Biology
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