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Identifying and modulating aggregation propensity in bio-pharmaceuticals and dimerisation events in amyloid formation

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  • Full or part time
    Dr D Brockwell
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The inappropriate aggregation of proteins places a huge economic burden on society. This is because it is not only linked with the onset of various neurodegenerative disorders but it also a confounding factor in the large-scale manufacture of protein-based therapeutics (bio-pharmaceuticals or biologics). Irrespective of its nature, the mechanistic details of protein aggregation remain elusive, and methods to predict or to interrogate the species formed during aggregation, especially at the initial stages, are distinctly lacking.

The aim of this studentship is to investigate the aggregation of proteins provided by our industrial collaborator (UCB) using a range of methods that include single molecule force spectroscopy and an in vivo screen developed at Leeds. This studentship opens new avenues to study the early events that initiate aggregation and will allow any correlations between aggregation propensity and standard biophysical analyses (if any) to be identified.

Funding Notes

To start in Oct 2017. Applicants should have, or be expecting to receive, a 2.1 Hons degree in a relevant subject.

This project is eligible for BBSRC funding. We are advertising a range of projects and funding will be awarded to the best candidates. The funding covers fees at UK/EU level plus a stipend of £14,553 for 4 years. Please note that candidates must have been resident in the UK for the last 3 years to be eligible for full funding; candidates who have not been resident in the UK are eligible for a fees-only studentship.

Please apply online: https://studentservices.leeds.ac.uk/pls/banprod/bwskalog_uol.P_DispLoginNon

How good is research at University of Leeds in Biological Sciences?

FTE Category A staff submitted: 60.90

Research output data provided by the Research Excellence Framework (REF)

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