Large margin kernel methods for calmodulin binding prediction
Date
2010
Authors
Hamilton, Michael, author
Ben-Hur, Asa, advisor
Anderson, Charles, committee member
Iyer, Hariharan, committee member
Journal Title
Journal ISSN
Volume Title
Abstract
Protein-protein interactions are involved in nearly all molecular processes of organisms. However direct laboratory techniques for identifying binding partners remain expensive and difficult at the proteome scale. In this work, kernel methods for predicting calmodulin binding partners and calmodulin binding sites are presented. Furthermore, we compare binary and structural support vector machines with multiple kernels defined over protein sequences.
Description
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Print version deaccessioned 2022.
Print version deaccessioned 2022.
Rights Access
Subject
Kernel functions
Calmodulin
Calcium-binding proteins