Deniz Akpinaroglu

A combinatorial mutational map of active non-native protein kinases by deep learning guided sequence design

The paper uses deep learning to design novel protein kinase sequences with multiple mutations, measures their activity, and identifies key sequence determinants of function.

An improved model for prediction of de novo designed proteins with diverse geometries

The paper presents a fine-tuned Alphafold2 model that better captures geometric diversity in de novo designed proteins compared to standard methods.

Deep learning guided design of dynamic proteins

This paper designs dynamic proteins with switch-like behavior using deep learning, validated by structure solving and simulations showing controllable conformational changes.