Algorithms to Detect Motifs and Predict Post-Translational Modification Sites
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Item Details
- title
- Algorithms to Detect Motifs and Predict Post-Translational Modification Sites
- author
- Johnson, Steven Michael
- 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
- 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
- type
- Thesis