Critical assessment of protein intrinsic disorder prediction.

Nat Methods
Authors
Keywords
Abstract

Intrinsically disordered proteins, defying the traditional protein structure-function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has F = 0.483 on the full dataset and F = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with F = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude.

Year of Publication
2021
Journal
Nat Methods
Volume
18
Issue
5
Pages
472-481
Date Published
2021 05
ISSN
1548-7105
DOI
10.1038/s41592-021-01117-3
PubMed ID
33875885
PubMed Central ID
PMC8105172
Links
Grant list
R01 GM089753 / GM / NIGMS NIH HHS / United States