EpiC provides state-of-the-art performance in in silico prediction and characterizion of antigen/antibody interfaces.
EpiC is aimed at R&D teams that need accurate and detailed descriptions of antibody-antigen interactions. Whether you need to prioritize your hit list of therapeutic antibodies, to troubleshoot diagnostic antibody assays, or optimize an antibodys´s afinity or selectivity – EpiC is the tool for you.
EpiC is a cost effective way to gain deep understanding of your antibody. It allows you to design focused experiments and save cost and time in your antibody and assay development.
EpiC provides the epi- and paratope in atomistic resolution. We value heavily graphical output as it provides a deep and intuitive understanding of the binding interaction in our experience. We therefore provide our customers of short movies of the physics-based simulations illustrating the dynamics of the antigen and antibody interaction.
All information about the behavior of key amino acids are provided as time-resolved interaction heatmaps and averages from simulated trajectories – in triplicate of course. This way, you not only know how they interact, but also where to engineer changes to improve or disrupt binding. Knowledge that greatly aids optimization for both affinity and selectivity.
The detailed, time-resolved information also forms the basis for proposing testable mutants that can further validate the interface.
The EpiC (Epitope Characterization) platform is a complex set of algorithms which have been developed and tuned by Raven biosciences to achieve superior performance in identifying and characterizing antibody-antigen interfaces and in providing the foundation for antibody design.
Prepare structures
Dock proteins
Identify most likely interfaces
Molecular dynamics simulations of best interfaces
Rank interfaces
Analyze and design
The core algorithms of EpiC include molecular protein docking and molecular dynamics simulations to identify the antigen/antibody interface in atomistic resolution. This allows EpiC to produce detailed information about the intermolecular interactions governing the interface as well as time-resolved information about their stability.
All that is required by the algorithm is name and species of the antigen and the amino acid sequence of the antibody .
If you happen to have additional information we are happy to include it in the workflow. This includes, but is not limited to:
