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    STUDIA INFORMATICA - Issue no. 1 / 2011  
         
  Article:   AN EXPERIMENT ON PROTEIN STRUCTURE PREDICTION USING REINFORCEMENT LEARNING.

Authors:  GABRIELA CZIBULA.
 
       
         
  Abstract:  

We are focusing in this paper on investigating a reinforcement learning based model for solving the problem of predicting the bidimensional structure of proteins in the hydrophobic-polar model, a well-known NP-hard optimization problem, important within many fields including bioinformatics, biochemistry, molecular biology and medicine. Our model is based on a Q-learning agent-based approach. The experimental evaluation confirms a good performance of the proposed model and indicates the potential of our proposal.

Key words and phrases. Combinatorial optimization, Bioinformatics, Reinforcement Learning, Protein Folding.

 
         
     
         
         
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