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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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Department:
Department of Statistics - University of Oxford
Role:
Author
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Department:
Department of Statistics - University of Oxford
Role:
Author, Supervisor
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Department:
UCB Pharma
Role:
Author, Supervisor
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Grant:
237656/2012-4
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Funding agency for:
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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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