How Close Are We to Profiling Immunogenicity Risk Using In Silico Algorithms and In Vitro Methods?: an Industry Perspective

Abstract

In silico HLA-binding algorithms and in vitro T cell-based assays as predictive tools for human immunogenicity risk have made inroads in the biotherapeutic drug discovery and development process. Currently, these tools are being used only for candidate selection or characterization and not for making a go/no-go decision for further development. A clear limitation for a broader implementation is the lack of correlation between the predicted T cell epitope content/immune reactivity potential of a biotherapeutic and the subsequent ADA-related clinical immunogenicity outcome. The current state of technologies and their pros and cons were discussed as a part of the 2016 AAPS National Biotechnology Conference in a themed session. A review of the advances in the area and the session talks along with the ensuing discussions are summarized in this commentary.

Keywords: MAPPS; T cell epitope; algorithm; anti-drug antibody; antigenicity; immunogenicity; prediction.