Sunday April 29 2018, 2pm-5pm

In silico Immunogenicity Prediction (A Hands-on Workshop)

Instructors:
Vinodh B. Kurella, PhD, Senior Scientist, Protein Engineering, Merrimack Pharmaceuticals

Eliud Oloo, PhD, Senior Principal Scientist, Schrodinger

Computational immunogenicity predictions for antibodies as well as pathogens help in the rational design and re-engineering. This facilitates the minimization of anti-drug antibodies (ADA) and optimal vaccine design. We will learn about the latest in silico tools that can shorten the process from design to preclinical validations.

Learning Objectives:

• T cell epitope prediction from primary sequences
• Peptide binding prediction to MHC class I and MHC class II
• B cell epitope prediction – Linear versus conformational epitopes (3D structure)
•                                         – In-silico protein docking (antigen-antibody docking)
• Antigen structure prediction via protein homology model

 All materials including tutorials/exercises and scripts will be available for users during and after the workshop. No prior programming experience necessary. Please bring your laptop for the workshop