Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs.
Keun-Joon ParkMinoru KanehisaPublished in: Bioinform. (2003)
Keyphrases
- amino acids
- amino acid residues
- protein function
- experimentally determined
- support vector
- contact maps
- contact map
- protein sequences
- protein structure prediction
- tertiary structure
- amino acid sequences
- protein structure
- secondary structure
- learning machines
- physicochemical properties
- physico chemical
- predicting protein
- secondary structure prediction
- protein interaction
- protein folding
- subcellular localization
- prediction accuracy
- protein functional
- solvent accessibility
- psi blast
- pairwise
- structural properties
- computational biology
- sequence alignment
- machine learning
- feature selection