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Thesis

Biologically inspired de novo protein structure prediction

Abstract:

Fragment-based approaches are the current standard for de novo protein structure prediction. These approaches rely on accurate and reliable fragment libraries to generate good structural models. We demonstrate that fragments presenting different predominant predicted secondary structures should be treated differently during fragment library generation. Using this information, we developed Flib and shown that it generates fragment libraries with higher precision and coverage tha...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author, Supervisor
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Department:
UCB Pharma
Role:
Supervisor, Author
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Grant:
237656/2012-4
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:cec2378e-2ae6-48c5-b735-f55aea0c59dc
Deposit date:
2016-03-29

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