An SVM Model Based on Physicochemical Properties to Predict Antimicrobial Activity from Protein Sequences with Cysteine Knot Motifs.
William F. PortoFabiano C. FernandesOctavio L. FrancoPublished in: BSB (2010)
Keyphrases
- amino acids
- protein sequences
- physicochemical properties
- structural motifs
- amino acid composition
- biological sequences
- protein secondary structure
- protein families
- support vector
- support vector machine svm
- computational biology
- genome sequences
- secondary structure
- protein structure
- protein function
- experimentally determined
- amino acid sequences
- protein structure prediction
- support vector machine
- sequence alignment
- protein folding
- svm classifier
- sequence analysis
- motif discovery
- sequence databases
- remote homology detection
- machine learning
- tertiary structure
- dna sequences
- feature space
- computational approaches
- feature selection