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Artificial neural network applications in immunology
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
Artificial neural network (ANN) applications in immunology include simulations of peptide binding to MHC molecules, which present peptides for recognition by the immune system. These peptides are derived from protein antigens and represent prime targets for vaccine discovery. ANN models have proven superior when compared to the alternative models. Applications of ANN models help minimise the number of necessary wetlab experiments. In this article we describe three specific applications in which
doi:10.1109/ijcnn.1999.836269
dblp:conf/ijcnn/BrusicZ99
fatcat:o4tlnd5ob5chhbxdjzlezrre7q