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Researchers develop AI-based tool paving the way for personalized cancer treatments

A team of Arizona State University scientists has developed an AI-based learning tool called HLA Inception that can classify individual proteins and predict immune responses. The tool uses machine learning to analyze electrostatic signatures on MHC-1 proteins, enabling faster predictions than traditional methods.

SourceArizona State University·JournalCell Systems·TypeData/statistical analysis·DateMar 29, 2024

CHOP researchers identify molecules that optimize immune presentation of antigens across the human population

CHOP researchers have identified variants of a chaperone molecule that can enhance the loading of peptides across different HLA types, which could be used in cell therapy and immunization applications. The study found that chicken-derived TAPBPR proteins can react with multiple HLA allotypes and stabilize the empty MHC-I groove, boosti...

SourceChildren's Hospital of Philadelphia·JournalScience Advances·DateFeb 24, 2023