Barbara Zdrazil

The paper uses Mendelian Randomization to predict adverse drug reactions by linking genetic variants to gene expression and protein abundance across large datasets.

This study systematically analyzes chemical probe literature to identify target-disease associations, revealing their utility in early therapeutic discovery and highlighting opportunities for repurposing.

This study uses large biobanks to identify gene-trait pairs with causal evidence, rediscover approved drug targets, and develop a predictive model for drug development.

This paper analyzes trends in drug discovery targets over 22 years by integrating data on protein families, Gene Ontology terms, and diseases to identify emerging research opportunities and potential drug repurposing candidates.