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Prediction of boundaries between intrinsically ordered and disordered protein regions.
Center for Information Science and Technology, Temple University, USA.
Using proteins with both disordered and ordered regions collected through literature searches and database scanning, we assembled a set of 24-residue long segments centered on their order/disorder boundaries as well as a larger set of non-boundary segments consisting of either order or disorder. We analyzed position-specific amino acid compositions around the order/disorder boundaries and found more than thirty significant (p < 0.05) compositional differences between boundary and non-boundary data. From this analysis, we constructed several logistic regression predictors of order/disorder boundaries using slightly different data modeling approaches. Exact boundary prediction accuracies were estimated to be in the range from 74% to 80% for the different predictors.
PMID: 12603030 [PubMed - indexed for MEDLINE]
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Cited by 3 PubMed Central articles
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Predicting disordered regions in proteins using the profiles of amino acid indices.
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[BMC Bioinformatics. 2009]
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Protein disorder prediction by condensed PSSM considering propensity for order or disorder.
Su CT, Chen CY, Ou YY.
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[BMC Bioinformatics. 2006]
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The importance of intrinsic disorder for protein phosphorylation.
Iakoucheva LM, Radivojac P, Brown CJ, O'Connor TR, Sikes JG, Obradovic Z, Dunker AK.
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[Nucleic Acids Res. 2004]