Area of research
Immunology · Molecular Biology
Research interest
Research interests include vaccines and immunoinformatics approaches, Immunotherapy and Immune Responses, Monoclonal and Polyclonal Antibodies Research, and T-cell and B-cell Immunology.
Definition and Characterization of SOX11-Derived T Cell Epitopes towards Immunotherapy of Glioma
Effects of hypoxia on antigen presentation and T cell-based immune recognition of HPV16-transformed cells
The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution
Application of individual HLA-binding prediction thresholds increases the detection of target cell surface-presented HPV16 E6- and E7-derived epitopes as a basis for therapeutic HPV vaccine design
Abstract A33: High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets
High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets
Performance Evaluation of MHC Class-I Binding Prediction Tools Based on an Experimentally Validated MHC–Peptide Binding Data Set
The shared <i>neo</i> antigen landscape of MSI cancers reflects immunoediting during tumor evolution
High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets
Abstract 578: Investigation of the effect of hypoxia on presentation of HPV16-derived antigens - implications for therapeutic vaccine design
Abstract 571: The shared mutation and <i>neo</i>antigen landscape of MMR-deficient colorectal cancers suggests immunoediting during tumor evolution
MHCflurry: Open-Source Class I MHC Binding Affinity Prediction
A Targeted LC‐MS Strategy for Low‐Abundant HLA Class‐I‐Presented Peptide Detection Identifies Novel Human Papillomavirus T‐Cell Epitopes
PRAME peptide‐specific CD8<sup>+</sup> T cells represent the predominant response against leukemia‐associated antigens in healthy individuals
Abstract 721: Development of a therapeutic HPV vaccine based on mass spectrometry-verified target epitopes
MHCflurry: open-source class I MHC binding affinity prediction