GRIFFIN: a system for predicting GPCR-G-protein coupling selectivity using a support vector machine and a hidden Markov model.
Yukimitsu YabukiTakahiko MuramatsuTakatsugu HirokawaHidehito MukaiMakiko SuwaPublished in: Nucleic Acids Res. (2005)
Keyphrases
- hidden markov models
- protein sequences
- support vector machine
- remote homology detection
- amino acids
- protein structure
- speech recognition
- feature vectors
- computational biology
- conditional random fields
- support vector
- hidden states
- svm classifier
- markov model
- sequential data
- viterbi algorithm
- multiple sequence alignment
- gesture recognition
- handwritten word recognition
- markov models
- machine learning
- protein families
- continuous hidden markov models
- biological sequences
- training set
- sequence alignment
- hidden state
- discriminative training
- dynamic probabilistic networks
- training data
- string kernels
- sequence databases
- expectation maximization
- feature space
- feature selection