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Title page for ETD etd-03282016-121917


Type of Document Dissertation
Author Putnam, Daniel Kent
URN etd-03282016-121917
Title BCL::SAS- Small Angle X-Ray / Neutron Scattering Profiles to Assist Protein Structure Prediction
Degree PhD
Department Biomedical Informatics
Advisory Committee
Advisor Name Title
Jens Meiler Committee Chair
Douglas P. Hardin Committee Member
Loukas Petridis Committee Member
Martin Egli Committee Member
Thomas A. Lasko Committee Member
Keywords
  • BCL::Fold
  • SAXS
  • Protein Structure Prediction
Date of Defense 2016-03-17
Availability unrestricted
Abstract
The Biochemical Library (BCL) is a protein structure prediction algorithm developed in the Meiler Lab at Vanderbilt University based on the placement of secondary structure elements (SSEs). This algorithm incorporates sparse experimental data constraints from nuclear magnetic resonance (NMR), Cryo- electron microscopy (CryoEM), and electron paramagnetic resonance (EPR), to restrict the conformational sampling space but does not have the capability to use Small Angle X-Ray / Neutron data. This dissertation delineates my work to add this capability to BCL::Fold. Specifically I show and show for what type of structures SAXS/SANS experimental data improves the accuracy BCL:: Fold and importantly where it does not. Furthermore, in collaboration with Oak Ridge National Labs, I present my work on structural determination of the Cellulose Synthase Complex in Arabidopsis Thaliana.
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