Pre-Conference Workshop

Tuesday. November 19

In-silico Immunogenicity Predictions (Hands-on Session)

Computational immunogenicity predictions for antibodies, as well as pathogens, help in the rational design and re-engineering. This facilitates to minimize anti-drug antibodies (ADA) as well as betterkren vaccine design. Latest in-silico tools can shorten the process from design to preclinical validations.

Topics to be covered:

  • Computational prediction for T cell and B cell epitopes from primary sequences
  • Antigen structure prediction via protein homology model
  • Structure or homology model-based Vaccine/ antigen design
  • Structural differences between MHC-I and MHC-II binding
  •  MHC class I and MHC class II predictions from peptide sequences
  • Overview on the latest immunogenicity prediction programs

Workshop Leaders

Vinodh Kurella

Vinodh Kurella, Senior Scientist , Voyager Therapeutics


Monica Wang, Principal Technology Lead, Project and Program Manager, Scientific Informatics, Takeda


Christopher Gemski, MSc., BSc., Translation Bioassay and Immunogenicity Risk Assessment, Global DMPK Oncology & Rare Diseases, Takeda

Karen Khar

Karen Khar, Computational Protein Scientist, Cyrus Biotechnology