Prediction of Carbohydrate-Binding Proteins from Sequences Using Support Vector Machines.
Seizi SomeyaMasanori KakutaMizuki MoritaKazuya SumikoshiCao WeiGe ZhenyiOsamu HiroseShugo NakamuraTohru TeradaKentaro ShimizuPublished in: Adv. Bioinformatics (2010)
Keyphrases
- hiv protease
- sequence analysis
- physicochemical properties
- subcellular localization
- prediction accuracy
- physico chemical
- protein structure prediction
- multiple sequence alignments
- sequence similarity
- drug design
- protein sequences
- protein tertiary structure
- protein secondary structure
- dna binding
- mhc class ii
- computational methods
- protein interaction
- protein protein interactions
- biological sequences
- wet lab
- sequence databases
- phylogenetic trees
- coarse grained
- protein structure
- amino acids
- learning to classify
- multiple sequence alignment
- experimentally determined
- major histocompatibility complex
- protein secondary structure prediction
- amino acid sequences
- protein function
- protein folding
- sequence alignment
- prediction model