Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines.
Blaise GassendCharles W. O'DonnellWilliam ThiesAndrew LeeMarten van DijkSrinivas DevadasPublished in: PRIB (2006)
Keyphrases
- secondary structure
- predicting protein
- support vector
- amino acid sequences
- protein sequences
- learning machines
- protein structure
- amino acids
- secondary structure of proteins
- sequence similarity
- tertiary structure
- computational methods
- protein folding
- protein secondary structure
- protein function
- protein protein
- structural features
- kernel function
- protein protein interactions
- secondary structure prediction
- protein structure prediction
- multiple sequence alignment
- support vector machine
- rna secondary structure prediction
- protein secondary structures
- rna sequences
- protein secondary structure prediction
- computational approaches
- molecular biology
- kernel methods
- feature selection
- neural network
- protein interaction
- splice site
- experimentally determined