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Evolving Local Minima in the Protein Energy Surface

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dc.contributor.advisor Shehu, Amarda
dc.contributor.author Olson, Brian Steffel
dc.creator Olson, Brian Steffel en_US
dc.date.accessioned 2013-08-19T21:16:50Z
dc.date.available 2013-08-19T21:16:50Z
dc.date.issued 2013-08 en_US
dc.identifier.uri https://hdl.handle.net/1920/8371
dc.description.abstract Proteins are the molecular tools of living cells and the path to unraveling their function is through modeling and understanding their structure. Many diseases occur when a protein loses its intended function due to inability to form the appropriate structure with which it binds to other molecules. A holistic approach to protein modeling would characterize all possible structural states accessible by a protein under native conditions. However, this task is infeasible. The question then becomes, how can we model the subset of these structural states most relevant to the function or disfunction of a protein?
dc.format.extent 154 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Brian Steffel Olson en_US
dc.subject Computer science en_US
dc.subject Bioinformatics en_US
dc.subject Evolutionary Computation en_US
dc.subject Native Conformation en_US
dc.subject Protein Structure Prediction en_US
dc.subject Stochastic Search en_US
dc.title Evolving Local Minima in the Protein Energy Surface en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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