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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/5833
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| Title: | Epitopes, aggregation and membrane binding: investigating the protein structure-function relationship |
| Authors: | Gregor, Craig Robert |
| Supervisor(s): | Crain, Jason Hossack, Will |
| Issue Date: | 22-Jun-2012 |
| Publisher: | The University of Edinburgh |
| Abstract: | The three-dimensional structure of a protein, formed as a result of amino-acid sequences
folding into compact domains, is regarded as a key factor in its biological function. How and why
proteins fold into specific topologies, remain the key focus of scientific research in the field of
biophysics. By stripping down complex reactions down to the most basic elements, biophysicists
aim to develop simplified models for biological phenomena such as antibody discrimination,
viral fusion or self-assembly.
Focusing on small model peptide systems, rather than the full proteins from which they were
derived, was hoped to result in accurate structural measurements and provide a more transparent
comparison between simulation and experiment. The aim of this research was therefore to
investigate how accurate these models were when compared against experiment. Furthermore,
while breaking down the complex biological phenomena into simple models, there was also a
conscious effort to ensure that the models were representative of real biological systems, and a
major focus was therefore aimed at determining whether any meaningful biomedical insight may
be extrapolated from such models.
Peptides found in hormones (human chorionic gonadotropin, luteinizing hormone), viruses
(HIV) and amyloid diseases (transthyretin) were selected in order to probe a variety of questions
in relation to the aforementioned biological phenomena. Namely, how the primary sequence
influenced the three-dimensional structure (and thus its biological function), how its environment
could influence such a confirmation, and how these systems aggregated.
This doctoral study has made use of a combination of computer simulations and experimental
techniques to investigate a selection of biologically relevant peptides; utilising classical
atomistic molecular dynamics (MD) simulations to characterise the free-energy landscapes of
the chosen peptides, and compare these findings with the secondary structure content predicted
by spectroscopic methods such as circular dichroism and infrared spectroscopy. The peptide
systems studied within, were found to be characterised by rugged free-energy landscapes unlike
their protein counterparts (defined by singular, deep minima). Furthermore, these landscapes
were found to be highly plastic and sensitive to changes in the local environment. |
| Sponsor(s): | Engineering and Physical Sciences Research Council (EPSRC) |
| Keywords: | small model peptide systems models molecular dynamics free-energy landscapes |
| URI: | http://hdl.handle.net/1842/5833 |
| Appears in Collections: | Physics thesis and dissertation collection
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