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"Hier haben wir relativ schnell sehr schöne Resultate bekommen. Darf ich fragen, wie die Anitkörper gereinigt wurden? (…) Wir bekommen von anderen Kunden Seren aus Immunisierungen, die oft einen beträchtlichen Hintergrund mitbringen, was hier nicht der Fall war." |
A customer's quote
The two figures vividly illustrate that selecting an epitope solely based on software algorithms is an essentially impossible task.
Three different prediction programs, taken as an example, suggest a variety of different regions that might be suitable as an antigenic peptide. In contrast, the epitope mapping experiment (anonymized data from a recent customer's project) reveals that a rabbit immunized with the full-length protein choses another set of epitopes, that does not match any of the software suggested candidates.
Shown are the results from a representative partial sequence.
Epitope selection requires more than just applying a prediction algorithm to the protein sequence.
Therefore, our proprietary work-flow comprises a wide variety of different aspects and methods, including (where available) 3D models and other background information, such as species comparison, secondary structure, domain structure, ...
These considerations lead to a pre-selection of different epitope sequences, which we will discuss in detail with our customers to derive a common educated decision.