DNA and protein sequence data sets have exploded in size over the past several years and have stimulated the development of new methods for closing the sequence/structure gap. Bench laboratory methods, while being the most accurate, are still far too time consuming and limited to breech this gap. Thus computational methods have become the standard. The work described here details the development of a system to automatically select a structural template, align the template and query sequence and model the query. The system was implemented fully for antibodies but maintains a modular design that can accommodate a wider variety of molecule types. Extensive testing was performed using antibodies and the results of this analysis reveal the potential limitations of homology modeling and point toward ways to improve on the template selection method.
Library of Congress Subject Headings
Biochemical templates--Data processing; Amino acid sequence--Data processing; Homology theory
Department, Program, or Center
Thomas H. Gosnell School of Life Sciences (COS)
Riley, David R., "Development of an Automated Template Selection and Alignment Tool for Protein Structure Homology Modeling" (2006). Thesis. Rochester Institute of Technology. Accessed from
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