Johanna Huchting

The paper optimizes and evaluates two cell-based assays for degrader discovery, finding that the signal rescue assay reliably identifies active degraders and filters out non-specific compounds.

The paper develops a machine learning model to predict drug-induced phospholipidosis using a large dataset of repurposed drugs tested across multiple cell lines.

The paper develops two annotation pipelines and dashboards to integrate chemical and bioactivity data for drug repurposing, validated on a compound library with over 5000 compounds.

This study uses cryo-EM to observe how influenza polymerase backtracks after incorporating T1106-MP nucleotides, revealing structural changes that lead to chain termination.