Carlo Fisicaro

Advancing Protein Ensemble Predictions Across the Order-Disorder Continuum

The paper introduces a benchmark for evaluating protein ensemble generators across ordered and disordered proteins and presents a new model that improves performance on disordered regions.

MYC-induced oncogenesis is dependent on acidic patches within its N-terminal intrinsically disordered domain.

This study identifies acidic patches in the MYC N-terminal disordered domain essential for oncogenesis and chromatin interaction, offering new therapeutic targets.

Improving Inverse Folding models at Protein Stability Prediction without additional Training or Data

The paper improves protein stability prediction by modifying existing models with a self-derived term, enhancing their performance without additional training or data.

ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers

ADOPT predicts protein intrinsic disorder using a deep bidirectional transformer, outperforming existing methods in speed and accuracy.