Exploring diverse approaches for predicting interferon-gamma release: utilizing MHC class II and peptide sequences.

ABSTRACT: Therapeutic proteins are in high demand due to their significant potential, driving continuous market growth. However, a critical concern for therapeutic proteins is their ability to trigger an immune response, while some treatments rely on this response for their therapeutic effect. Therefore, to assess the efficacy and safety of the drug, it is pivotal to determine its immunogenicity potential. Various experimental methods, such as cytokine release or T-cell proliferation assays, are used for this purpose. However, these assays can be costly, time-consuming, and often limited in their ability to screen large peptide sets across diverse major histocompatibility complex (MHC) alleles. Hence, this study aimed to develop a computational classification model for predicting the release of inte

SUBMITTER: Omran A 

PROVIDER: S-EPMC11894801 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature