Tuğçe Oruç

The paper develops a method combining protein language models with 3D tesselation to create detailed binding site representations, improving downstream tasks like druggability modeling and benchmarking.

This paper introduces DeepCDpred, a method that predicts inter-residue distances and contacts to improve protein structure prediction, showing better results than contact prediction alone.