András Zeke

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

The paper explores Leishmania's protein targeting systems, showing divergence from host organisms and building predictive models for protein localization and function.

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

The paper measures affinities of 65,000 PDZ domain interactions using quantitative fragmentomics, revealing viral interference hotspots and system-wide impacts of interactome hijacking.

The paper investigates the evolutionary origin of intrinsically disordered regions linked to cancer, finding many have ancient origins despite their functional importance in tumor formation.

The paper identifies linear motifs that mediate protein trafficking to apical and basolateral membranes using machine learning models trained on human transmembrane proteins.

The paper identifies that mutations in intrinsically disordered regions (IDRs) are a distinct class of cancer drivers with unique functional mechanisms and therapeutic implications.