Assessment of protein model structure accuracy estimation in CASP13: Challenges in the era of deep learning.

ABSTRACT: Scoring model structure is an essential component of protein structure prediction that can affect the prediction accuracy tremendously. Users of protein structure prediction results also need to score models to select the best models for their application studies. In Critical Assessment of techniques for protein Structure Prediction (CASP), model accuracy estimation methods have been tested in a blind fashion by providing models submitted by the tertiary structure prediction servers for scoring. In CASP13, model accuracy estimation results were evaluated in terms of both global and local structure accuracy. Global structure accuracy estimation was evaluated by the quality of the models selected by the global structure scores and by the absolute estimates of the global scores. Residue-wise,

SUBMITTER: Won J 

PROVIDER: S-EPMC6851486 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature