Prediction of disordered regions in proteins based on the meta approach.
about
MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteinsClassification of intrinsically disordered regions and proteinsmSYD1A, a mammalian synapse-defective-1 protein, regulates synaptogenic signaling and vesicle dockingFamily-wide characterization of the DENN domain Rab GDP-GTP exchange factorsExtended interaction network of procollagen C-proteinase enhancer-1 in the extracellular matrixImproved sequence-based prediction of disordered regions with multilayer fusion of multiple information sourcesDisorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental StudiesComputational approaches for inferring the functions of intrinsically disordered proteinsLarge-scale production and protein engineering of G protein-coupled receptors for structural studiesSolution Structure of CCP Modules 10–12 Illuminates Functional Architecture of the Complement Regulator, Factor HCrystallographic and biochemical analysis of the mouse poly(ADP-ribose) glycohydrolaseOrder and disorder in large multi-site docking proteins of the Gab family--implications for signalling complex formation and inhibitor design strategiesDISC1: Structure, Function, and Therapeutic Potential for Major Mental IllnessRNase Y in Bacillus subtilis: a Natively disordered protein that is the functional equivalent of RNase E from Escherichia coliIdentification and glycerol-induced correction of misfolding mutations in the X-linked mental retardation gene CASKSequence analysis reveals a conserved extension in the capping enzyme of the alphavirus supergroup, and a homologous domain in nodavirusesModulation of the disordered conformational ensembles of the p53 transactivation domain by cancer-associated mutationsDisPredict: A Predictor of Disordered Protein Using Optimized RBF KernelCharacterization of ERM transactivation domain binding to the ACID/PTOV domain of the Mediator subunit MED25Induced folding in RNA recognition by Arabidopsis thaliana DCL1A flexible C-terminal linker is required for proper FtsZ assembly in vitro and cytokinetic ring formation in vivoOn the encoding of proteins for disordered regions prediction.Biochemical and biophysical characterization of recombinant yeast proteasome maturation factor ump1.A novel approach for predicting disordered regions in a protein sequence.An integrated map of HIV genome-wide variation from a population perspective.An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions.Understanding protein non-folding.Estimation of Position Specific Energy as a Feature of Protein Residues from Sequence Alone for Structural ClassificationA comprehensive overview of computational protein disorder prediction methodsUncertainty analysis in protein disorder prediction.Resequencing of the auxiliary GABA(B) receptor subunit gene KCTD12 in chronic tinnitus.DISOPRED3: precise disordered region predictions with annotated protein-binding activityLarge-scale prediction of long disordered regions in proteins using random forestsPONDR-FIT: a meta-predictor of intrinsically disordered amino acidsIn-silico prediction of disorder content using hybrid sequence representation.Binary classification of protein molecules into intrinsically disordered and ordered segments.MultiMiTar: a novel multi objective optimization based miRNA-target prediction method.Unsupervised Integration of Multiple Protein Disorder Predictors: The Method and Evaluation on CASP7, CASP8 and CASP9 Data.Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks.Rapid calcium-dependent activation of Aurora-A kinase.
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P2860
Prediction of disordered regions in proteins based on the meta approach.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Prediction of disordered regions in proteins based on the meta approach.
@en
Prediction of disordered regions in proteins based on the meta approach.
@nl
type
label
Prediction of disordered regions in proteins based on the meta approach.
@en
Prediction of disordered regions in proteins based on the meta approach.
@nl
prefLabel
Prediction of disordered regions in proteins based on the meta approach.
@en
Prediction of disordered regions in proteins based on the meta approach.
@nl
P2860
P356
P1433
P1476
Prediction of disordered regions in proteins based on the meta approach.
@en
P2093
Kengo Kinoshita
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN195
P407
P577
2008-04-20T00:00:00Z