Abstract

The ever-increasing number of tumor-associated antigens has provided a major stimulus for the development of therapeutic peptides vaccines. Tumor-associated peptides can induce high immune response rates and have been developed as vaccines for several types of solid tumors, and many are at various stages of clinical testing. MAGED4B, a melanoma antigen, is overexpressed in oral squamous cell carcinoma (OSCC) and this expression promotes proliferation and cell migration. In previous scientifc projects it has also been identified that 9 short peptides derived from MAGED4B protein are restricted in binding to the HLA subtypes common in the Asian population (HLA-A2, A11, and A24). As a result, we here discovered for the first time the GENEA-Immunomagetor-45700d utilizing the KNIME-BiogenetoligandorolTM-PASS-KNIME-based GA(M)E-QSAR-FIPSDock: a new molecular docking combinatorial clustering technique driven by fully informed swarm optimization algorithm and GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug design based on Chemical and biological properties of frequent screening hits in predicting drug targets based on conserved binding pocket active MAGED4B protein domains.