Dávid Deritei

The paper identifies protein interactors of COPD GWAS genes using AP-MS and network analysis, revealing a disease network module involving 8 proteins.

The paper investigates HHIP's role in epithelial wound healing and links its dysfunction to COPD susceptibility through computational modeling and experimental validation.

The paper identifies HHIP protein interactions in lung cells, revealing new connections to COPD GWAS genes and providing insights into COPD pathogenesis.

The paper develops a Boolean model to simulate mitochondrial dynamics and senescence processes, identifying mechanisms of MiDAS and its relationship to cancer and aging.

This paper introduces probabilistic edge-weight operators to improve Boolean network dynamics by incorporating noise and state-dependent edge weights, enhancing prediction accuracy in regulatory systems.

The paper analyzes a mammalian cell cycle model to show how conditionally stable motifs drive oscillations through cell cycle checkpoints.