Predicting HLA class II antigen presentation through integrated deep learning

A.A.A. is a scholar of the Leukemia and Lymphoma Society. This work used the XStream computational resource, which is supported by the National Science Foundation Major Research Instrumentation program (ACI-1429830). This work used the shared FACS facility, which is supported by NIH S10 Shared Instrument Grant (S10RR027431-01). We thank the NIH Tetramer Facility for providing recombinant HLA-DR monomers for the peptide binding experiment. We thank M. Nielsen for providing insights regarding implementation of the NetMHCIIpan algorithm.