Frank Hause

The paper introduces DIFFRACT, a framework that uses local fractal dimension changes in protein interaction networks to detect functional reorganization, showing its utility in identifying novel biological roles in RAVER1-deficient cells.

This study presents the first structural model of the full-length p53:Sirt1 complex, showing Sirt1 selectively deacetylates p53 at K582 and binds acetylated p53 with a 1:1 stoichiometry.

The paper maps the human protein interactome onto a hyperbolic representation to analyze how intrinsic disorder and structure-mediated interactions influence network organization and molecular functions.

CENTRA uses gene co-occurrence networks from literature to identify functional master regulators by analyzing centrality and fractality in topic-specific contexts.

This study shows RNA-seq-derived sequence variations can reliably identify cell lines and detect cross-contamination using machine learning.

This study evaluates theophylline's efficacy in treating ADCY5-related dyskinesia, finding significant symptom improvement in 92% of patients with notable adverse effects.

This paper introduces a workflow for improved XL-MS data analysis using PASEF, integrating MeroX and Skyline for better identification of cross-linked products.

This study identifies two proteomic subgroups of intrahepatic cholangiocarcinoma with distinct time-to-recurrence rates and biological processes.