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Specifying, Identifying, and Comparing Higher-Order Protein Structures: Theory, Algorithm, and Tools

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dc.contributor.advisor Kremer, Stefan Chan, Irenaeus 2018-09-25T18:31:27Z 2018-09-25T18:31:27Z 2018-08 2018-09-17 2018-09-25
dc.description.abstract Secondary structures are polypeptide chains folded into 3D conformations which forms the backbone of all proteins. Secondary structures form the foundation of structural motifs, which are integral in the understanding of structure-function relationships within proteins, as common motifs provide critical information regarding a protein’s function, suggesting the prediction of function from basic structural patterns. In this thesis, it was shown that secondary structures could be defined with algorithms using consistent objective patterns found within the structures. These algorithms could furthermore be implemented in Python resulting in the development of 19 unique classification algorithms capable of determining the objective characteristics. Recognizing that different structural patterns may be of interest to different researchers with various needs, a system was designed, and a prototype was provided that would share these structural patterns within a community, as well as enable researchers to possibly refine the described sets and explore the categories using set operations. en_US
dc.language.iso en en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Protein Structure en_US
dc.subject Bioinformatics en_US
dc.subject Algorithms en_US
dc.subject Python en_US
dc.subject Set Theory en_US
dc.subject Prototype en_US
dc.subject Website en_US
dc.subject Secondary Structure en_US
dc.subject Structural Motifs en_US
dc.subject Secondary Structure Motifs en_US
dc.subject Classification en_US
dc.subject Identification en_US
dc.subject Categorization en_US
dc.subject Pattern Recognition en_US
dc.subject Communal-Based Tool en_US
dc.title Specifying, Identifying, and Comparing Higher-Order Protein Structures: Theory, Algorithm, and Tools en_US
dc.type Thesis en_US Bioinformatics en_US Master of Science en_US School of Computer Science en_US
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Attribution-NonCommercial-ShareAlike 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International