Erzsébet Fichó

The paper identifies positive selection in human proteins, showing PSRs are enriched in extracellular regions and interaction interfaces, and links them to pathogen targeting and drug targets.

SLiMMine predicts short linear motifs in the human proteome with high reliability, reducing false positives and discovering novel motifs.

This paper proposes a digital twin-based model for interpretable side effect prediction in drug discovery using off-target proteins and biophysical mechanisms, offering actionable insights.

The paper identifies three scenarios of folding-binding interplay in IDPs, showing how binding partner properties influence protein sequence, structure, function, and regulation as much as inherent disorder.