Protein function prediction using family-specific structural motifs

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  • March 21, 2019
Creator
  • Kietsakorn, Tanarat
    • Affiliation: Eshelman School of Pharmacy, Division of Chemical Biology and Medicinal Chemistry
Abstract
  • Protein function prediction using structural motifs is expected to be more reliable and informative than using global sequences/structures or sequence motifs. In the first part of this thesis, we report a novel application of two structural motif-based methods, FFSM and CASIM, for predicting family-specific structural motifs and conserved key residues in Metallo-dependent phosphatase (Metallophos) structures. We also introduced the novel function prediction approach based on 3D-1D Cumulative Support Profiles, which represents degree of conservation of amino acid residues specific to Metallophos family. In the second part of this thesis, we present novel structural motif-based approaches for function annotation of protein tyrosine kinase (PTK) sequences. This is the first report of non-traditional function inference, from structure to sequence to function. Compared to other state-of-the art methods, our approaches were able to reveal more comprehensive information such as the 3D structure of the potential active site including key residues.
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  • In Copyright
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  • "... in partial fulfillment of the requirements for the degree of Master of Science in the School of Pharmacy (Division of Chemical Biology and Medicinal Chemistry)."
Advisor
  • Tropsha, Alexander
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Place of publication
  • Chapel Hill, NC
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  • Open access
Date uploaded
  • March 18, 2013

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