1D protein sequences, 2D contact maps and 3D structures are three different
representational levels of detail for proteins. Predicting protein 3D
structures from their 1D sequences remains one of the complex challenges of
bioinformatics. The "Divide and Conquer" principle is applied in our
research to handle this challenge, by dividing it into two separate yet
dependent subproblems, using a Case-Based Reasoning (CBR) approach. Firstly,
2D contact maps are predicted from their 1D protein sequences; secondly, 3D
protein structures are then predicted from their predicted 2D contact maps.
We focus on the problem of identifying common substructural patterns of
protein contact maps, which could potentially be used as building blocks for
a bottom-up approach for protein structure prediction. We further
demonstrate how to improve identifying these patterns by combining both
protein sequence and structural information. We assess the consistency and
the efficiency of identifying common substructural patterns by conducting
statistical analyses on several subsets of the experimental results with
different sequence and structural information. / Thesis (Master, Computing) -- Queen's University, 2009-04-23 22:01:04.528
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OKQ.1974/1789 |
| Date | 24 April 2009 |
| Creators | Ahmed, Hazem Radwan A. |
| Contributors | Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.)) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Format | 2789816 bytes, application/pdf |
| Rights | This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner. |
| Relation | Canadian theses |
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