UNBIASED CHARACTERIZATION OF PEPTIDE-HLA CLASS II INTERACTIONS BASED ON LARGE-SCALE PEPTIDE MICROARRAYS; ASSESSMENT OF THE IMPACT ON HLA CLASS II LIGAND AND EPITOPE PREDICTION

Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction

Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction

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Human Leukocyte Antigen class II (HLA-II) molecules present peptides to T lymphocytes and play an important role in adaptive immune responses.Characterizing the binding specificity of single HLA-II molecules has profound impacts for Bike Parts - Seatposts - Rigid understanding cellular immunity, identifying the cause of autoimmune diseases, for immunotherapeutics, and vaccine development.Here, novel high-density peptide microarray technology combined with machine learning techniques were used to address this task at an unprecedented level of high-throughput.

Microarrays with over 200,000 defined peptides were assayed with four exemplary HLA-II molecules.Machine learning was applied to mine the signals.The comparison of identified binding motifs, and power for predicting eluted ligands and CD4+ epitope datasets to that obtained using NetMHCIIpan-3.

2, confirmed a high quality Camping Stoves of the chip readout.These results suggest that the proposed microarray technology offers a novel and unique platform for large-scale unbiased interrogation of peptide binding preferences of HLA-II molecules.

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