Karolis Uziela

The paper improves protein model quality assessment by retraining ProQ3D with different target functions, finding contact-based methods better for identifying best models and S-score better for global quality correlation.

The paper describes methods for estimating model accuracy in protein structure predictions, showing improvements in single model accuracy over previous methods.

The paper introduces PconsFold2, a pipeline that improves protein structure prediction by integrating contact predictions and model quality assessment, identifying 558 Pfam families with 90% specificity.