Max Planck Institute for Molecular Genetics

Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity

Abstract Heterobifunctional targeted degraders (HBDs) enable potent removal of protein targets but their clinical success can be hindered by de novo toxicity inherent to their bivalent chemistry. Here we introduce a drug discovery framework that exploits high-throughput proteomic...

dicast: a machine learning method for accurate structural variant detection from short-read sequencing data

Abstract Structural variants are a common cause of human diseases, but their detection from short-read sequencing remains challenging, despite being the technology underlying most clinical workflows. We present dicast , a machine-learning method that scores SV calls from short-re...