article Open AccessTop 1% cited
Length-dependent prediction of protein intrinsic disorder
BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 208–208
Kang Peng✉(Temple University)Predrag Radivojac(Indiana University Bloomington)Slobodan Vučetić(Temple University)A. Keith Dunker(Indiana University School of Medicine)Zoran Obradović(Temple University)
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
field-weighted impact
References
81
Percentile
99%
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Citations per year
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