A reinforcement-learning-based approach to enhance exhaustive protein loop sampling.
Amélie BarozetKevin MolloyMarc VaissetThierry SiméonJuan CortésPublished in: Bioinform. (2020)
Keyphrases
- reinforcement learning
- protein sequences
- learning process
- learning algorithm
- state space
- function approximation
- monte carlo
- protein structure prediction
- mass spectrometry data
- model free
- random sampling
- amino acids
- optimal policy
- robotic control
- multi agent
- machine learning
- protein folding
- protein structure
- temporal difference
- protein protein interactions
- markov decision processes
- dynamic programming
- neural network
- sampling algorithm
- parameter space
- drug design
- sample size
- molecular structures