On July 16, 2024 Evaxion Biotech A/S (NASDAQ: EVAX) ("Evaxion" or the "Company"), a clinical-stage TechBio company specializing in developing AI-Immunology powered vaccines, reported improved performance of its key building block, EvaxMHC, within its AI-Immunology platform, at the 32nd Intelligent Systems for Molecular Biology (ISMB) conference taking place in Montreal, Canada, from July 12-16, 2024 (Press release, Evaxion Biotech, JUL 16, 2024, View Source [SID1234644889]).
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A key feature in developing effective AI-designed personalized and precision vaccines is the ability to accurately predict which small fragments, known as peptides, of pathogens or cancer cells are displayed on the surface of cells by Major Histocompatibility Complex (MHC) molecules. This display allows the immune system to recognize and eliminate the threat. Evaxion’s EvaxMHC building block predicts which peptides are more likely to be presented by MHC molecules, thereby aiding vaccine target discovery and facilitating the development of effective vaccines.
Christian Kanstrup, Evaxion’s CEO, comments: "Our results demonstrate significant improvements in the prediction of peptide-MHC interactions, particularly for MHC class II molecules, which have historically been difficult to predict accurately. With this advancement on AI-Immunology we now have a more reliable and effective tool for designing personalized and precision vaccines for cancer and infectious diseases. The improved EvaxMHC building block is used in the ongoing Phase 2 trial with Evaxion’s lead vaccine candidate, the personal cancer vaccine EVX-01."
Key highlights showcased at the presentation:
A state-of-the-art deep-learning framework was utilized, enhancing the accuracy of peptide-MHC predictions
Our approach includes three new strategies: Creating a unified representation for both MHC class I and -II molecules, utilizing a deep transformer encoder-decoder architecture, and adopting a generative adversarial network (GAN) pretraining mechanism
The updated EvaxMHC building block led to improved vaccine designs demonstrated in preclinical studies
About AI-Immunology
AI-Immunology is a scalable and adaptable artificial intelligence technology platform at the forefront of vaccine discovery for infectious diseases and cancers. By integrating the collective power of proprietary AI models PIONEER, EDEN, RAVEN, and ObsERV, the platform can model the complexity of the patient’s immune system. AI-Immunology advanced computational modeling swiftly and uniquely identifies, predicts, and designs vaccine candidates, revolutionizing the landscape of immunotherapy by offering a holistic and personalized approach to combat fast-evolving pathogens and malignant cells.