Luca Naef

PLINDER provides a large, annotated PLI dataset with diverse annotations and improved evaluation splits to better assess computational methods for drug design.

PINDER provides a benchmark dataset for evaluating protein-protein interaction docking models, revealing overestimation of performance on leaky test sets and showing improvements with interface-clustered training.

This paper reviews recent advances in deep learning for protein design, presents a practical pipeline for sequence-to-property analysis, and suggests a generated protein sequence for biosynthetic applications.