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- W2953706739 endingPage "169" @default.
- W2953706739 startingPage "159" @default.
- W2953706739 abstract "While as many as 50% of eukaryotic proteins are estimated to have intrinsically disordered regions (IDRs), only about 30 thousand out of 130 million of the currently sequenced proteins are experimentally annotated with disorder. This large and growing annotation gap can be reduced with computational sequence-based predictors of IDRs. This article motivates and illustrates computational prediction of IDRs and surveys popular methods. We discuss several practical facets concerning their availability, impact, outputs and predictive performance. Results published in the most recent CASP experiment that included disorder prediction assessment, CASP10, shows that IDRs are predicted with high accuracy. The top three performers in CASP10 (PrDOS-CNF, DISOPRED3 and MFDp) secure AUC ≥ 0.89. Moreover, disorder predictors enjoy strong citation profiles, with three tools that are cited at least 50 times annually. We also delineate impact of IDR predictions on the systems medicine field, focusing on new frontiers to treat and understand human diseases. The annotation and functional understanding of IDRs could assist with deciphering mechanisms of viral infections and the resultant immune responses, facilitation of improved molecular-level understanding of a wide range of human diseases, and could aid the development of novel drug targets and therapeutics." @default.
- W2953706739 created "2019-07-12" @default.
- W2953706739 creator A5014095655 @default.
- W2953706739 creator A5079316675 @default.
- W2953706739 creator A5088423732 @default.
- W2953706739 date "2021-01-01" @default.
- W2953706739 modified "2023-10-05" @default.
- W2953706739 title "The Methods and Tools for Intrinsic Disorder Prediction and their Application to Systems Medicine" @default.
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