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Schematic representation of the quantitative structure–activity relationship (QSAR) methodology used in this project. (A) Modeling workflow: three machine learning approaches are evaluated using five-fold cross-validation (5-CV) repeated 10 times. (B) Overall workflow and the training procedure for prediction of nanoparticle sequence using transformer-based approach: tokenization, embedding followed by transformer modeling and prediction.
