Katja Luck

The paper identifies brain-specific functions of NDD-associated genes by analyzing gene expression and regulatory mechanisms across tissues.

Foldseek-Interface clusters protein interaction interfaces from PDB data, revealing 77,167 interface clusters and novel interface types.

The paper identifies short linear motifs in Toxoplasma gondii secreted proteins using a computational pipeline and validates some predictions experimentally.

The paper improves variant effect prediction in intrinsically disordered regions by combining sequence analysis, AlphaFold, and experiments to annotate protein interactions and predict deleterious variants.

This study profiles the human phosphoproteome in response to eleven DNA damage agents, identifying core phosphorylation sites and DDR signatures, and links proteasome regulation to the DDR via UBE3A.

This study systematically profiles drug responses in BAF complex perturbations, revealing subtype-specific vulnerabilities and resistance patterns to genotoxic and cytotoxic compounds.

This study identifies Gid11 as a substrate receptor for the GID ubiquitin ligase in budding yeast, revealing its role in regulating metabolic transitions by targeting glycolytic factors during ethanol metabolism.

The paper evaluates AlphaFold-Multimer for predicting protein interaction interfaces using short linear motifs and validates some predictions experimentally.

The paper shows that reactivation of inactive X-chromosome alleles in female neural cells during differentiation enhances resilience to X-linked neurodevelopmental disorders.

This study identifies a novel interaction between BmGtsf1L and BmVreteno's eTudor domain that facilitates piRNA biogenesis in Bombyx mori by connecting piRNA-loaded BmAgo3 and Gtsf1L.

The paper constructs a high-quality yeast binary interactome map and compares inner- and outer-complexome organization, finding the outer-complexome contains more interactions and exhibits higher functional heterogeneity.

The paper introduces an assayome concept to optimize binary interactome mapping by combining multiple assay versions, achieving high true positive detection with minimal assays.

The paper presents HuRI, a comprehensive human protein-protein interaction map, and demonstrates its utility in understanding cellular function and disease mechanisms.

The paper challenges the Triadic Closure Principle in protein interaction prediction and introduces the L3 principle, which outperforms existing methods and identifies novel interactions.