Abstract
The ability of structural genomics consortia to determine protein structures more quickly than the proteins can be functionally annotated by conventional experimental means has generated a significant bottleneck that inhibits the progress of certain areas of biological and medical research. This issue is currently being addressed in part by the development of computational resources, which can suggest functions for proteins of interest based on their structure. ProMOL is such a resource, and the method that it employs is based on detecting, in structures of unknown function, motifs of known function from a template library. Access to ProMOL results has been limited, due to a number of factors including the computational requirements for generating novel results and the format in which results have been stored. In this project, a remote results database that can be shared by the ProMOL user community has been implemented and integrated into the ProMOL client program. The introduction of database features addresses several of the drawbacks ProMOL previously had, especially related to efficiency, redundant computations, and the ability to maximize the potential utility of accumulated analysis results. Using the database has no effect on performance in the worst case scenario, and in the best case scenario it decreases runtime by >99%. Analyses of accumulated results in the database facilitate better quantification of the accuracy and performance of ProMOL, and suggest ways to improve the program. Finally, the database constitutes a novel resource with a variety of potential avenues of investigation that have not been possible previously.
Library of Congress Subject Headings
Proteins--Analysis--Data processing; Proteins--Databases; Genomics--Data processing
Publication Date
8-18-2016
Document Type
Thesis
Student Type
Graduate
Degree Name
Bioinformatics (MS)
Department, Program, or Center
Thomas H. Gosnell School of Life Sciences (COS)
Advisor
Paul A. Craig
Advisor/Committee Member
Michael V. Osier
Advisor/Committee Member
Gregory A. Babbitt
Recommended Citation
Grier, Alexander, "Improving the Performance of ProMOL by Integrating Communal Database Access" (2016). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/9225
Campus
RIT – Main Campus
Comments
Physical copy available from RIT's Wallace Library at QH324.2 .G74 2016