The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary

The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.

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.