Hamilton, Michael, authorBen-Hur, Asa, advisorAnderson, Charles, committee memberIyer, Hariharan, committee member2022-04-152022-04-152010https://hdl.handle.net/10217/234711Covers not scanned.Print version deaccessioned 2022.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.masters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.Kernel functionsCalmodulinCalcium-binding proteinsLarge margin kernel methods for calmodulin binding predictionText