Sam G. Giannakoulias

This paper introduces hint token learning to improve protein language models on mutational datasets through three case studies, showing better performance than traditional fine-tuning.

This study introduces Prot-SCL, a self-supervised machine learning method for predicting protein subcellular localization from primary sequence, achieving strong performance on both validation and testing sets.