Research on predicting 2D-HP protein folding using reinforcement learning with full state space.
Hongjie WuRu YangQiming FuJianping ChenWeizhong LuHaiou LiPublished in: BMC Bioinform. (2019)
Keyphrases
- protein folding
- state space
- reinforcement learning
- reinforcement learning algorithms
- markov decision processes
- annealing algorithm
- heuristic search
- low energy
- optimal policy
- secondary structure
- amino acids
- action space
- markov decision process
- learning algorithm
- state abstraction
- dynamic programming
- structural motifs
- coarse grained
- machine learning
- planning problems
- partially observable
- function approximation
- dynamical systems
- continuous state spaces
- protein structure prediction
- supervised learning
- protein structure
- continuous state
- learning agent
- temporal difference
- fine grained
- model free
- state variables
- statistical analysis
- simulated annealing
- policy iteration
- building blocks
- markov decision problems
- protein sequences