Interpretable Results, Accelerated Development
The Need for Explainable AI (XAI)
In clinical development, "black box" algorithms are unacceptable. Vax-Elan is built on XAI principles, ensuring that every design choice, from peptide length to amino acid modification, is fully justified and traceable.
This transparency is critical for regulatory submission and, most importantly, for scientific validation, allowing researchers to refine their hypotheses based on our AI’s reasoning.
Feature Importance Mapping
Vax-Elan provides detailed heat maps and feature importance scores for every predicted peptide. You can visualize exactly which parts of the sequence contribute most significantly to predicted immunogenicity or stability.
This level of detail enables scientists to iterate on design with maximum efficiency, making informed decisions rather than relying on pure algorithmic output.
