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Structural and mechanistic analysis of Chikungunya virus replicase processing


Project Description

Chikungunya virus is a mosquito-transmitted arbovirus that re-emerged as an epidemic in 2005 around the Indian Ocean, before spreading across Asia, Africa, Europe and the Americas. It continues to spread across regions harbouring its mosquito vector - including much of North America and Western Europe. Chikungunya virus causes acute ‘Dengue or Zika like’ symptoms and chronic, debilitating musculoskeletal pain with neurological complications.
This project will use cutting edge molecular virology, cryo-electron and corelative light microscopy methods to investigate how processing of Chikungunya virus non-structural proteins, within its replicase complex, control replication and expression of the viral genome. There are no vaccines or antiviral therapies for Chikungunya virus infection. Consequently, the longer-term goal of this research is to provide greater understanding of fundamental aspects of the virus replication cycle, in order to explore their potential as novel therapeutic antiviral targets.



For further information please see the following links:

http://www.fbs.leeds.ac.uk/staff/profile.php?un=fbsatu

http://www.astbury.leeds.ac.uk/people/staff/staffpage.php?StaffID=AKT

Funding Notes

White Rose BBSRC Doctoral Training Partnership in Mechanistic Biology
4 year fully-funded programme of integrated research and skills training, starting Oct 2019:
• Research Council Stipend
• UK/EU Tuition Fees
• Conference allowance
• Research Costs

Requirements:
At least a 2:1 honours degree or equivalent. We welcome students with backgrounds in biological, chemical or physical sciences, or mathematical backgrounds with an interest in biological questions.
EU candidates require 3 years of UK residency in order to receive full studentship

Not all projects advertised will be funded; the DTP will appoint a limited number of candidates via a competitive process.

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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)

Click here to see the results for all UK universities

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