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Length-dependent prediction of protein intrinsic disorder

BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 208–208
Kang PengPredrag RadivojacSlobodan VučetićA. Keith DunkerZoran Obradović

Abstract

The VSL2 predictors are applicable to disordered regions of any length and can accurately identify the short disordered regions that are often misclassified by our previous disorder predictors. The success of the VSL2 predictors further confirmed the previously observed differences in amino acid compositions and sequence properties between short and long disordered regions, and justified our approaches for modelling short and long disordered regions separately. The VSL2 predictors are freely accessible for non-commercial use at http://www.ist.temple.edu/disprot/predictorVSL2.php.

Protein Structure and DynamicsMachine Learning in BioinformaticsEnzyme Structure and FunctionIntrinsically disordered proteinsProtein structure predictionPredictive modellingComputational biologyProtein Data Bank (RCSB PDB)Protein structureBiologyComputer scienceArtificial intelligenceBioinformatics

MeSH terms

AlgorithmsAmino Acid SequenceComputer SimulationModels, ChemicalModels, MolecularMolecular Sequence DataProteinsSoftwareSequence AlignmentProtein Structure, SecondarySequence Analysis, Protein

Funding

  • National Institutes of Health
Citations
946
FWCI
12.49
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