Development of a sugar-binding residue prediction system from protein sequences using support vector machine.
Masaki BannoYusuke KomiyamaCao WeiYuya OkuKokoro UekiKazuya SumikoshiShugo NakamuraTohru TeradaKentaro ShimizuPublished in: Comput. Biol. Chem. (2017)
Keyphrases
- protein sequences
- protein structure prediction
- amino acids
- remote homology detection
- support vector machine
- protein secondary structure
- protein classification
- computational biology
- protein structure
- experimentally determined
- secondary structure
- prediction accuracy
- sequence analysis
- multiple sequence alignment
- protein structure and function
- protein function
- solvent accessibility
- svm classifier
- biological sequences
- amino acid sequences
- similarity measure
- string kernels
- protein secondary structure prediction
- multiple alignment
- sequence alignment
- tertiary structure
- multiple sequence alignments
- kernel methods
- training data
- feature selection