Computational methods exploit the sequence signatures of disorder to predict whether a, given its. The table below, which was originally adapted from and has been recently updated, shows the main features of software for disorder prediction. Note that different software use different definitions of disorder. Predictor What is predicted Based on Generates and uses?

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A binary prediction of whether a protein has a long disordered region (>30 residues) Physicochemical properties of amino acids, sequence complexity, and amino acid composition No Output long/short disorder and semi-disorder (0.4-0.7) and full disorder (0.7-1.0). Game Caesar 3 Gratis more. Semi-disorder is semi-collapsed with some secondary structure.

A neural network based three-state predictor based on both local and global features. Ranked in Top 5 based on AUC in CASP 9.

Yes All regions that are not rigid including random coils, partially unstructured regions, and molten globules Local aa composition, flexibility, hydropathy, etc. No Regions with high propensity for globularity on the Russell/Linding scale (propensities for secondary structures and random coils) Russell/Linding scale of disorder No LOOPS (regions devoid of regular secondary structure); HOT LOOPS (highly mobile loops); REMARK465 (regions lacking electron density in crystal structure) Neural networks trained on X-ray structure data No Predict secondary structure and intrinsic disorder in one unified statistical framework based on the analysis of NMR chemical shifts Neural networks trained on NMR solution-based data.

Yes Low-complexity segments that is, “simple sequences” or “compositionally biased regions”. • Ferron F, Longhi S, Canard B, Karlin D (October 2006). 'A practical overview of protein disorder prediction methods'. 65 (1): 1–14...

• Peng Z, Mizianty MJ, Kurgan L (Jan 2014).. 82 (1): 145–58... • Zhang T, Faraggi E, Xue B, Dunker K, Uversky VN, Zhou Y (February 2012). Journal of Biomolecular Structure and Dynamics.

29 (4): 799–813.... • Sormanni P, Camilloni C, Fariselli P, Vendruscolo M (February 2015).. 427 (4): 982–996... • Ward JJ, Sodhi JS, McGuffin LJ, Buxton BF, Jones DT (March 2004).. 337 (3): 635–45...

• Prilusky J, Felder CE, Zeev-Ben-Mordehai T, et al. (August 2005).. 21 (16): 3435–8...

• Kozlowski, L. P.; Bujnicki, J.

BMC Bioinformatics. • Mizianty MJ, Stach W, Chen K, Kedarisetti KD, Disfani FM, Kurgan L (September 2010).. 26 (18): i489–96.... • Sumaiya Iqbal; Md Tamjidul Hoque (October 2015).. 10 (10): e0141551.. Miziantya, Zhenling Penga & Lukasz Kurgan (April 2013)..