Georg Kuenze

This paper introduces pHoptNN, a graph neural network predicting enzyme pH opt from structure, achieving lower error than sequence-based methods.

SNPstar links SNPs in Arabidopsis thaliana to protein structure and function using AlphaFold3 predictions, enabling variant characterization and geographic mapping.

This study designs improved VEGFA inhibitors using computational tools, achieving higher affinity than existing peptides with minimal experimental rounds.

The paper uses personalized structural biology to analyze de novo KCNC2 variants in a DEE patient, revealing distinct functional effects of two nearby variants.

The paper presents a framework for ensuring reproducibility in bio-macromolecular modeling through automated benchmarks and a test server, demonstrating its utility for Rosetta and other tools.