2022
DOI: 10.1016/j.ymeth.2022.03.018
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Resources for computational prediction of intrinsic disorder in proteins

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Cited by 21 publications
(22 citation statements)
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“…Motivated by the large number and diversity of the sequence-based disorder predictors [ 30 , 36 , 37 , 41 , 42 ], we utilize the recently released CAID results to investigate the compositional bias of the putative disorder generated by the top performing predictors. We found that the compositional bias of the putative disorder is very similar to the bias of the native disorder.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Motivated by the large number and diversity of the sequence-based disorder predictors [ 30 , 36 , 37 , 41 , 42 ], we utilize the recently released CAID results to investigate the compositional bias of the putative disorder generated by the top performing predictors. We found that the compositional bias of the putative disorder is very similar to the bias of the native disorder.…”
Section: Discussionmentioning
confidence: 99%
“…Over 100 disorder predictors have already been developed [ 30 ]. Many comprehensive studies summarize, survey and comparatively assess disorder predictors [ 28 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ]. These include several community assessments, such as Critical Assessment of Structure Prediction (CASP) between CASP5 and CASP 10 [ 45 , 46 , 47 , 48 , 50 , 51 ], and more recently the Critical Assessment of Intrinsic Protein Disorder (CAID) [ 49 ].…”
Section: Introductionmentioning
confidence: 99%
“…Popular examples include methods that predict intrinsic disorder, secondary structure, solvent accessibility, and protein and nucleic acid interaction sites. Numerous assessments and comparative surveys were done to catalogue and compare these methods [1] , [7] , [13] , [15] , [29] , [32] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , [45] , [46] , [47] , [48] , [49] , [50] , [51] , [52] , [53] . These studies assist users in selection of the most accurate or the most suitable tools, measure progress over time and help in formulating future research directions.…”
Section: Discussionmentioning
confidence: 99%
“…Availability of the many sequence-based predictors of the residue-level annotations has spurred numerous studies that survey and compare these tools [1] , [2] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [13] , [14] , [15] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , [45] , [46] . A large portion of these studies focuses on the empirical comparative assessment of their predictive performance.…”
Section: Introductionmentioning
confidence: 99%
“…Predictors of intrinsic disorder have been comprehensively surveyed and analyzed in a large number of studies 4 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 . They were evaluated in a several comparative assessments, most notably as part of the community-driven efforts including the Critical Assessment of techniques for protein Structure Prediction (CASP) experiments 78 , 79 , 80 , 81 and more recently the CAID experiment [63] .…”
Section: Introductionmentioning
confidence: 99%