• Corpus ID: 59972657

Prediction of MHC class II epitopes using genetic algorithms and other metaheuristics

  title={Prediction of MHC class II epitopes using genetic algorithms and other metaheuristics},
  author={H. Mygind and M. M{\o}lgaard},
As a part of immunological bioinformatics research metaheuristics are used in the prediction of amino acid chains binding to the MHC-II molecule. A method of prediction the Gibbs sampler, developed by Nielsen et. al.[8], uses simulated annealing to optimise an objective function. We have replaced the simulated annealing with a genetic algorithm, in an attempt to perform a better optimisation and thereby achieve a better prediction. The bioinformatical problem of MHC-II binding is… 
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