Fuzzy Neural Network-Based Prediction of the Motif for MHC Class II Binding Peptides.

This publication has 16 references indexed in Scilit:

• Neural network-based prediction of candidate T-cell epitopes
  Nature Biotechnology, 1998
• MHCPEP, a database of MHC-binding peptides: update 1997
  Nucleic Acids Research, 1998
• Automatic Fuzzy Modeling for Ginjo Sake Brewing Process using Fuzzy Neural Networks.
  JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1997
• Modeling of Total Evaluation Process of Ginjo sake Using a Fuzzy Neural Network
  Transactions of the Society of Instrument and Control Engineers, 1996
• Precise prediction of major histocompatibility complex class II-peptide interaction based on peptide side chain scanning.
  The Journal of Experimental Medicine, 1994
• High-affinity binding of short peptides to major histocompatibility complex class II molecules by anchor combinations.
  Proceedings of the National Academy of Sciences, 1994
• Peptides Naturally Presented by MHC Class I Molecules
  Annual Review of Immunology, 1993
• Amino acid side chain parameters for correlation studies in biology and pharmacology
  International Journal of Peptide and Protein Research, 1988
• Measuring the Accuracy of Diagnostic Systems
  Science, 1988
• Prediction of protein antigenic determinants from amino acid sequences.
  Proceedings of the National Academy of Sciences, 1981