Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach.
H. H. LinL. Y. HanH. L. ZhangC. J. ZhengB. XieZhi Wei CaoYu Zong ChenPublished in: BMC Bioinform. (2006)
Keyphrases
- physicochemical properties
- support vector machine
- amino acids
- protein sequences
- protein function
- protein families
- protein function prediction
- tertiary structure
- protein structural
- amino acid sequences
- binding peptides
- sequence analysis
- hiv protease
- psi blast
- secondary structure
- mhc class ii
- protein classification
- protein structure prediction
- sequence alignment
- feature space
- fine grained