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Thesis

Exploring protein folding mechanisms to enable the protein structure prediction of previously intractable targets

Abstract:

The prediction of a protein structure from its amino acid sequence is one of the grand challenges of computational biology. In this thesis, we describe extensions to our biologically-inspired fragment-based protein structure prediction pipeline, SAINT2, to improve the prediction of previously intractable targets.

While template-free protein structure prediction protocols can now produce good quality models for many targets, modelling failure remains common; users need to be able t...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Research group:
Oxford Protein Informatics Group
Oxford college:
Lincoln College
Role:
Author
ORCID:
0000-0001-5677-8215

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Research group:
Oxford Protein Informatics Group
Role:
Supervisor
ORCID:
0000-0003-1388-2252
Institution:
UCB Pharma
Role:
Supervisor
Institution:
UCB Pharma
Role:
Supervisor
Role:
Supervisor
More from this funder
Funding agency for:
West, C
More from this funder
Programme:
EPSRC and MRC Systems Approaches to Biomedical Sciences
Funding agency for:
West, C
Grant:
EP/G037280/1
More from this funder
Programme:
EPSRC and MRC Systems Approaches to Biomedical Sciences
Funding agency for:
West, C
Grant:
EP/G037280/1
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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