We present a machine learning method to optimize the presentation of peptides by class II MHCs and test peptides using a high a throughput yeast-display assay.
Self-docking results are indicated by asterisks. The PDB ID for the MHC structure used in docking is shown in parentheses for each allotype. All-atom RMSDs were calculated for all non-hydrogen atoms i
See the Table 1 caption for details. The correct peptide sequence for PDB entry 2IAD was unknown since it differs between the reference and the PDB file so docking of this peptide was not performed.
Certain peptides such as dynorphin A [dynA-(1–13)] enhance the release of antigenic peptides bound to class II MHC molecules at neutral pH. This enhanced release has been termed push off. Previous wor
We present a machine learning method to optimize the presentation of peptides by class II MHCs and test peptides using a high a throughput yeast-display assay.