Towards the in silico identification of class II restricted T-cell epitopes: a partial least squares iterative self-consistent algorithm for affinity prediction

Keyphrases

• Partial Least Squares Structural Equation Modeling (PLS-SEM) 100%
• T Cell Epitope 100%
• In Silico Identification 100%
• Affinity Prediction 100%
• DRB1 100%
• Self-consistent Algorithm 100%
• Additive Method 40%
• MHC Binding 40%
• Amino Acids 20%
• Peptide Binding 20%
• Immunogenicity 20%
• Binding Site 20%
• Molecular Modeling 20%
• Predictive Methods 20%
• MHC Molecules 20%
• MHC Class II 20%
• Binding Affinity Prediction 20%
• Prediction Method 20%
• Consistent Partial Least Squares 20%
• Sybyl 20%
• Epitope Prediction 20%
• Modeling Software 20%
• Regression Equation 20%
• Amino Acid Interactions 20%
• Final Model 20%
• Long Peptides 20%
• Quantitative Contributions 20%

Chemistry

• Epitope 100%
• Amino Acid 50%
• Binding Site 25%
• Kd 25%
• Molecular Model 25%

Food Science

• Amino Acid 100%