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Algorithms to Detect Motifs and Predict Post-Translational Modification Sites

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abstract
Post-translational modifications (PTMs) are an important step in the formation of a mature protein. While much is known about some PTMs such as Phosphorylation, there are other PTMs such as Cysteine S-sulfenylation that are currently being researched and analyzed. For this project, an algorithm, Bit-Motif, was developed to analyze modification sites of PTMs by discovering statistically significant motifs around these sites. These motifs were then used as features for a Support Vector Machine to build a prediction model for PTM sites, called Prediction Using Motifs for PTMs (PUMP).
subject
Motif Search
Post-Translational Modification
Support Vector Machine
contributor
Johnson, Steven Michael (author)
Turkett, William H (committee chair)
Cho, Samuel (committee member)
Poole, Leslie (committee member)
date
2015-06-23T08:35:54Z (accessioned)
2015-06-23T08:35:54Z (available)
2015 (issued)
degree
Computer Science (discipline)
identifier
http://hdl.handle.net/10339/57157 (uri)
language
en (iso)
publisher
Wake Forest University
title
Algorithms to Detect Motifs and Predict Post-Translational Modification Sites
type
Thesis

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