Gábor Tusnády

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.

The paper provides benchmark sets to evaluate AlphaFold applications without data leakage, showing the need for careful parameter optimization in disordered prediction.

This paper analyzes how AlphaFold2 has expanded structural coverage of the human transmembrane proteome compared to experimental structures alone and evaluates its effectiveness in homology searches.

LeishMANIAdb compiles experimental and predicted Leishmania secretomes and host-pathogen interactions to aid in understanding virulence mechanisms and identifying therapeutic targets.

The paper introduces a web server for predicting crystallization success of transmembrane proteins using a method tailored for membrane proteins.

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.