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WinDiso is a linear, sequence- and alignment-based predictor of disordered/unfolded regions in proteins. It has the capability of adjusting for the increased tendency for disorder at protein termini. The simple weighted window-based algorithm and careful optimization technique make this a good predictor to use when trying to avoid bias toward special cases. WinDiso was optimized using several thousand crystallographic structures. Analysis of its optimized parameters has provided insight into physical principles involved in order/disorder.
To cite this predictor, please use the following reference:
Holladay NB, Kinch LN, Grishin NV. Optimization of linear disorder predictors yields tight association between crystallographic disorder and hydrophobicity. Protein Sci. 2007 Oct;16(10):2140-2152.
Profile-based predictors utilize PSI-BLAST (Altschul et al., Nuc. Acids Res. 25:3389-3402)
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