In this meetup we have a talk on Applying Monte Carlo Tree Search (MCTS) to the Protein Folding problem By Gavin Potter.
Following on from Ali's talk on the theory of MCTS, Gavin would like to present the results of an internal hackathon on the practical issues that they found applying MCTS to predict the shape of protein molecules. This talk will provide a brief introduction to the Hydrophobic-polar protein folding model and then concentrate on the amendments they made to the MCTS algorithm to improve its performance on finding solutions to the problem.
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Applying Monte Carlo Tree Search (MCTS) to the Protein Folding
Gavin is a mathematical psychologist who specialises in combining psychological theories together with the analysis of large datasets in order to extract new insights into people's preferences and desires. He graduated from Oxford with an Experimental Psychology degree and has spent over 20 years developing models to better understand human behaviour. He lectures widely on the subject and is a pioneer in the field of behavioural economics.