Prediction of protein phosphorylation sites by support vector machines.
Tomoki IshinoIkuko NishikawaYukako TohsatoSatoshi FukuchiKen NishikawaPublished in: BMEI (2013)
Keyphrases
- experimentally determined
- support vector
- protein sequences
- amino acids
- protein structure
- learning machines
- subcellular localization
- large margin classifiers
- protein secondary structure
- protein structure prediction
- contact map
- prediction accuracy
- secondary structure
- protein function
- contact maps
- protein tertiary structure
- protein classification
- website
- protein protein interactions
- drug design
- prediction model
- classification accuracy
- multiple sequence alignments
- predicting protein
- feature selection
- computational biology
- protein homology
- logistic regression
- cross validation
- prediction error
- protein interaction
- structural motifs
- learning algorithm
- remote homology detection
- physicochemical properties
- kernel function
- protein function prediction
- support vectors
- maximum margin
- sequence alignment
- multiple sequence alignment
- generalization ability
- gene prediction
- protein families
- support vector machine
- scheduling problem
- pairwise
- feature ranking