The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins.

ABSTRACT: Disorder prediction methods that can discriminate between ordered and disordered regions have contributed fundamentally to our understanding of the properties and prevalence of intrinsically disordered proteins (IDPs) in proteomes as well as their functional roles. However, a recent large-scale assessment of the performance of these methods indicated that there is still room for further improvements, necessitating novel approaches to understand the strengths and weaknesses of individual methods. In this study, we compared two methods, IUPred and disorder prediction, based on the pLDDT scores derived from AlphaFold2 (AF2) models. We evaluated these methods using a dataset from the DisProt database, consisting of experimentally characterized disordered regions and subsets associated with div

SUBMITTER: Pajkos M 

PROVIDER: S-EPMC10604070 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature