Version history

• Addition of Artificial Neural Network predictors for several additional alleles.
• Selection of optimal predictors for alleles where both Neural networks and Matrix predictors exists.
  • Removal of Matrix predictors for alleles for which Neural Network predictors exist.
• Update of Web interface.
• Indication of Strong Binder/Weak Binder on output.

Main publication:

• Reliable prediction of T-cell epitopes using neural networks with novel sequence representations.
  Nielsen M, Lundegaard C, Worning P, Lauemoller SL, Lamberth K, Buus S, Brunak S, Lund O.
  Protein Sci., 12:1007-17, 2003.

  View the abstract.

• Improved neural network predictors for alleles belonging to most HLA supertypes.
  • Artificial Neural Network ensembles trained using several sequence encoding schemes and optimized training strategy.
• Matrix predictors derived using a Gibbs sampler approach for a large number of alleles are introduced.

Main publication:

• Reliable prediction of T-cell epitopes using neural networks with novel sequence representations.
  Nielsen M, Lundegaard C, Worning P, Lauemoller SL, Lamberth K, Buus S, Brunak S, Lund O.
  Protein Sci., 12:1007-17, 2003.

  View the abstract.

• Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach.
  Nielsen M, Lundegaard C, Worning P, Hvid CS, Lamberth K, Buus S, Brunak S, Lund O.
  Bioinformatics, 20(9):1388-97, 2004.

  View the abstract.

• Artificial Neural Network predictors for peptide/MHC binding for HLA-A2 and H-2Kk.
• Integrate predictions of MHC binding and proteasomale cleavage using NetChop version 2.0

Main publication:

• Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach.
  Buus S, Lauemoller SL, Worning P, Kesmir C, Frimurer T, Corbet S, Fomsgaard A, Hilden J, Holm A, Brunak S.
  Tissue Antigens., 62:378-84, 2003.

  View the abstract.