Ayten Dizkırıcı

This study evaluates deep learning models' ability to predict protein flexibility by comparing their structural ensembles with experimental data, finding AlphaFold3 performs best.

The paper introduces APE score, an ensemble method combining three predictors to improve missense mutation effect predictions in oncoproteins, showing better performance than individual predictors in DMS experiments and providing variant classifications.

This study reveals how archaeal RPA's winged-helix domain interacts with DNA primase and polymerase, enhancing PriSL activity and providing insights into replication regulation.

This study analyzes the mutational landscape of the Monkeypox virus proteome using ESCOTT and provides a resource for assessing new variants.