Quantitative prediction of NF-kappa B DNA-protein interactions.
about
Characterisation of RT1-E2, a multigenic family of highly conserved rat non-classical MHC class I molecules initially identified in cells from immunoprivileged sitesGANN: genetic algorithm neural networks for the detection of conserved combinations of features in DNAUsing protein-binding microarrays to study transcription factor specificity: homologs, isoforms and complexesQuantitative Analysis of NF-κB Transactivation Specificity Using a Yeast-Based Functional AssayCross-species analysis reveals evolving and conserved features of the nuclear factor κB (NF-κB) proteinsDetermining physical constraints in transcriptional initiation complexes using DNA sequence analysis.Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions.OHMM: a Hidden Markov Model accurately predicting the occupancy of a transcription factor with a self-overlapping binding motif.Regression based predictor for p53 transactivation.Mutations in the v-Rel transactivation domain indicate altered phosphorylation and identify a subset of NF-kappaB-regulated cell death inhibitors important for v-Rel transforming activity.An improved SELEX-Seq strategy for characterizing DNA-binding specificity of transcription factor: NF-κB as an example.Regulation of Mcl-1 by constitutive activation of NF-κB contributes to cell viability in human esophageal squamous cell carcinoma cells.Single-nucleotide mutation matrix: a new model for predicting the NF-κB DNA binding sites.Genomic analysis reveals a novel nuclear factor-κB (NF-κB)-binding site in Alu-repetitive elements.Extensive characterization of NF-κB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits.FoxP3 enhances HIV-1 gene expression by modulating NFkappaB occupancy at the long terminal repeat in human T cellsBoCaTFBS: a boosted cascade learner to refine the binding sites suggested by ChIP-chip experimentsQuantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.Cytokine gene polymorphism and immunoregulation in periodontal disease.Correlation between binding rate constants and individual information of E. coli Fis binding sitesAn information transmission model for transcription factor binding at regulatory DNA sites.Shaping alternative NF-kappaB-dependent gene expression programs: new clues to specificity.Tuning up inflammation: how DNA sequence and chromatin organization control the induction of inflammatory genes by NF-kappaB.AKT inhibition is associated with chemosensitisation in the pancreatic cancer cell line MIA-PaCa-2Protein binding microarrays for the characterization of DNA-protein interactions.A SILAC-based DNA protein interaction screen that identifies candidate binding proteins to functional DNA elementsRapid analysis of the DNA-binding specificities of transcription factors with DNA microarrays.Molecular aspects of rheumatoid arthritis: role of transcription factors.Targeting NF-kappaB: a promising molecular therapy in inflammatory arthritis.Post-transcriptional regulation of cystic fibrosis transmembrane conductance regulator expression and function by microRNAs.The NF-kappaB family of transcription factors and its regulation.Control of NF-kappaB-dependent transcriptional responses by chromatin organization.Herbal medicinal products target defined biochemical and molecular mediators of inflammatory autoimmune arthritis.Functional conservation of Rel binding sites in drosophilid genomes.Quantitative high-throughput analysis of transcription factor binding specificities.Comparing the fine specificity of DNA binding by NF-kappaB p50 and p52 using principal coordinates analysis.Human transcription factors in yeast: the fruitful examples of P53 and NF-кB.On the value of intra-motif dependencies of human insulator protein CTCF.Principles of dimer-specific gene regulation revealed by a comprehensive characterization of NF-κB family DNA binding.Primate lentiviruses use at least three alternative strategies to suppress NF-κB-mediated immune activation.
P2860
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P2860
Quantitative prediction of NF-kappa B DNA-protein interactions.
description
2002 nî lūn-bûn
@nan
2002 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Quantitative prediction of NF-kappa B DNA-protein interactions
@nl
Quantitative prediction of NF-kappa B DNA-protein interactions.
@ast
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en-gb
type
label
Quantitative prediction of NF-kappa B DNA-protein interactions
@nl
Quantitative prediction of NF-kappa B DNA-protein interactions.
@ast
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en-gb
prefLabel
Quantitative prediction of NF-kappa B DNA-protein interactions
@nl
Quantitative prediction of NF-kappa B DNA-protein interactions.
@ast
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en-gb
P2093
P2860
P356
P1476
Quantitative prediction of NF-kappa B DNA-protein interactions.
@en
P2093
Dawn Field
Irina A Udalova
Richard Mott
P2860
P304
P356
10.1073/PNAS.102674699
P407
P577
2002-06-04T00:00:00Z