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PONDRs disordered regions

Accuracies of Predictors of Natural Disordered Regions (PONDR)... [Pg.63]

The likelihood of multiple domains in a protein can also be estimated from the distribution of compositionally biased or predicted disordered regions, which tend to function as interdomain linkers. This type of subsequences can be identified using tools such as SEG [106], CAST [107], DisEMBL [108], PONDR [109], Disopred 2 [110], GlobPlot [111], DISPro, CARD [112], andNORsp [113], Armadillo, DLP2 [114], or DomCut can also be used to predict the linker regions of multidomain proteins from their primary sequence. [Pg.57]

The success of the initial PONDRs based on small databases of disordered protein motivated attempts to improve predictor accuracy. The main limitation for such attempts has been and continues to be the lack of low-noise structural data for both ordered and disordered protein, where noise means ordered regions misclassified as disordered and vice versa. [Pg.63]


See other pages where PONDRs disordered regions is mentioned: [Pg.48]    [Pg.48]    [Pg.49]    [Pg.62]    [Pg.62]    [Pg.65]    [Pg.60]    [Pg.143]    [Pg.297]    [Pg.389]    [Pg.62]    [Pg.64]    [Pg.65]    [Pg.66]    [Pg.67]    [Pg.143]   


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Regions disordered

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