Immunogenicity and Developability Prediction Using AI

Structural Bioinformatics › AI Antibody Structure Research

Immunogenicity and Developability Prediction Using AI

Interns will create machine learning models integrating structural features, sequence composition, and biophysical properties to predict antibody immunogenicity, aggregation propensity, and manufacturability. They will work with proprietary and public databases to train and validate predictive algorithms for therapeutic antibody design.

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