Eric J. Jaehnig

This paper evaluates kinase activity inference methods using phosphoproteomics data and benchmarking approaches, finding that curated kinase-substrate libraries significantly impact results.

The paper constructs a co-regulation map of phosphosites using machine learning and phosphoproteomic data, revealing kinase-substrate associations and identifying potential therapeutic targets in cancer.

DeepRescore2 improves phosphopeptide identification using deep learning, leading to more phosphosites detected and new biological insights in liver cancer.