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null (Ed.)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 max = 0.483 on the full dataset and F max = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with F max = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude.more » « less
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Zhou, Naihui ; Jiang, Yuxiang ; Bergquist, Timothy R. ; Lee, Alexandra J. ; Kacsoh, Balint Z. ; Crocker, Alex W. ; Lewis, Kimberley A. ; Georghiou, George ; Nguyen, Huy N. ; Hamid, Md Nafiz ; et al ( , Genome Biology)