Sequence-based protein structure prediction using a reduced state-space hidden Markov model.
Christos LamprosCostas PapaloukasThemis P. ExarchosYorgos GoletsisDimitrios I. FotiadisPublished in: Comput. Biol. Medicine (2007)
Keyphrases
- hidden markov models
- protein structure prediction
- state space
- sequential data
- hidden state
- viterbi algorithm
- state transition
- reinforcement learning
- forward backward
- baum welch
- protein sequences
- dynamical systems
- graph theory
- markov models
- protein structure
- partially observable
- sequence alignment
- markov model
- dynamic programming
- hidden states
- protein folding
- coarse grained
- handwritten word recognition
- computational biology
- optimal policy
- state variables
- markov decision processes
- conditional random fields
- fixed length
- speech recognition
- multi stream
- particle filter
- amino acids
- biological sequences
- markov chain
- co occurrence
- genetic algorithm