In silico prediction of post-translational modifications.
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Hui Li | Chunmei Liu | Chunmei Liu | Hui Li
[1] John S. Garavelli,et al. The RESID Database of Protein Modifications: 2003 developments , 2003, Nucleic Acids Res..
[2] Hongfang Liu,et al. Support Vector Machine-Based Mucin-Type O-linked Glycosylation Site Prediction Using Enhanced Sequence Feature Encoding , 2009, AMIA.
[3] Bermseok Oh,et al. Prediction of phosphorylation sites using SVMs , 2004, Bioinform..
[4] G. Bologna,et al. N‐Terminal myristoylation predictions by ensembles of neural networks , 2004, Proteomics.
[5] Ishtiaq Ahmad,et al. In silico determination of intracellular glycosylation and phosphorylation sites in human selectins: Implications for biological function , 2007, Journal of cellular biochemistry.
[6] Amos Bairoch,et al. PROSITE: A Documented Database Using Patterns and Profiles as Motif Descriptors , 2002, Briefings Bioinform..
[7] N. Blom,et al. Sequence and structure-based prediction of eukaryotic protein phosphorylation sites. , 1999, Journal of molecular biology.
[8] Leszek Rychlewski,et al. ELM server: a new resource for investigating short functional sites in modular eukaryotic proteins , 2003, Nucleic Acids Res..
[9] Toby J. Gibson,et al. Phosphorylation of S776 and 14-3-3 Binding Modulate Ataxin-1 Interaction with Splicing Factors , 2009, PloS one.
[10] Bingwen Lu,et al. Automatic validation of phosphopeptide identifications from tandem mass spectra. , 2007, Analytical chemistry.
[11] S. Brunak,et al. Prediction, conservation analysis, and structural characterization of mammalian mucin-type O-glycosylation sites. , 2005, Glycobiology.
[12] Yu Xue,et al. GPS: a novel group-based phosphorylation predicting and scoring method. , 2004, Biochemical and biophysical research communications.
[13] Hsien-Da Huang,et al. dbPTM: an information repository of protein post-translational modification , 2005, Nucleic Acids Res..
[14] O. Lund,et al. Prediction of O-glycosylation of mammalian proteins: specificity patterns of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase. , 1995, The Biochemical journal.
[15] Jorng-Tzong Horng,et al. Incorporating support vector machine for identifying protein tyrosine sulfation sites , 2009, J. Comput. Chem..
[16] Jonathan D. Hirst,et al. Prediction of glycosylation sites using random forests , 2008, BMC Bioinformatics.
[17] Jianfeng Feng,et al. A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data , 2008, BMC Bioinformatics.
[18] Jorng-Tzong Horng,et al. KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites , 2005, Nucleic Acids Res..
[19] Hanno Steen,et al. Development of human protein reference database as an initial platform for approaching systems biology in humans. , 2003, Genome research.
[20] Nikolaj Blom,et al. BIOINFORMATICS APPLICATIONS NOTE Sequence analysis NetAcet: prediction of N-terminal acetylation sites , 2004 .
[21] Ramneek Gupta. Prediction of glycosylation sites in proteomes: from post-translational modifications to protein function , 2001 .
[22] Ke Chen,et al. Prediction of flexible/rigid regions from protein sequences using k-spaced amino acid pairs , 2007, BMC Structural Biology.
[23] J. Jaeken,et al. Congenital disorders of glycosylation: the rapidly growing tip of the iceberg , 2001, Current opinion in neurology.
[24] Katalin F Medzihradszky,et al. Characterization of site-specific N-glycosylation. , 2008, Methods in molecular biology.
[25] Dariusz Plewczynski,et al. AutoMotif Server for prediction of phosphorylation sites in proteins using support vector machine: 2007 update , 2008, Journal of molecular modeling.
[26] S Brunak,et al. Scanning the available Dictyostelium discoideum proteome for O-linked GlcNAc glycosylation sites using neural networks. , 1999, Glycobiology.
[27] P Bork,et al. Sequence properties of GPI-anchored proteins near the omega-site: constraints for the polypeptide binding site of the putative transamidase. , 1998, Protein engineering.
[28] P. Cohen,et al. The regulation of protein function by multisite phosphorylation--a 25 year update. , 2000, Trends in biochemical sciences.
[29] Nikolaj Blom,et al. Prediction of proprotein convertase cleavage sites. , 2004, Protein engineering, design & selection : PEDS.
[30] Paul T Martin,et al. The dystroglycanopathies: the new disorders of O-linked glycosylation. , 2005, Seminars in pediatric neurology.
[31] Michel Zivy,et al. Extent of N‐terminal modifications in cytosolic proteins from eukaryotes , 2008, Proteomics.
[32] S. Brunak,et al. Analysis and prediction of mammalian protein glycation. , 2006, Glycobiology.
[33] O. Lund,et al. NetOglyc: Prediction of mucin type O-glycosylation sites based on sequence context and surface accessibility , 1998, Glycoconjugate Journal.
[34] Michael C Giddings,et al. Prediction of posttranslational modifications using intact-protein mass spectrometric data. , 2004, Analytical chemistry.
[35] G. Heijne,et al. ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sites , 1999, Protein science : a publication of the Protein Society.
[36] R W Sweet,et al. Protein and carbohydrate structural analysis of a recombinant soluble CD4 receptor by mass spectrometry. , 1989, The Journal of biological chemistry.
[37] Bostjan Kobe,et al. Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated database of phosphorylation sites , 2008, BMC Bioinformatics.
[38] Dariusz Plewczynski,et al. AutoMotif server: prediction of single residue post-translational modifications in proteins , 2005, Bioinform..
[39] Nikolaj Blom,et al. NetPhosYeast: prediction of protein phosphorylation sites in yeast , 2007, Bioinform..
[40] Catherine A. Cooper,et al. GlycoMod – A software tool for determining glycosylation compositions from mass spectrometric data , 2001, Proteomics.
[41] Hsien-Da Huang,et al. KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns , 2007, Nucleic Acids Res..
[42] Yu Xue,et al. PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory , 2006, BMC Bioinformatics.
[43] Michael B. Yaffe,et al. Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs , 2003, Nucleic Acids Res..
[44] Dongsup Kim,et al. PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship , 2010, BMC Bioinformatics.
[45] Søren Brunak,et al. Prediction of Glycosylation Across the Human Proteome and the Correlation to Protein Function , 2001, Pacific Symposium on Biocomputing.
[46] Yu Xue,et al. GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy *S , 2008, Molecular & Cellular Proteomics.
[47] Christopher S. Oehmen,et al. A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics , 2008, Bioinform..
[48] Albert Y. Zomaya,et al. SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles , 2008, BMC Bioinformatics.
[49] Eunok Paek,et al. Prediction of novel modifications by unrestrictive search of tandem mass spectra. , 2009, Journal of proteome research.
[50] N. Blom,et al. Prediction of post‐translational glycosylation and phosphorylation of proteins from the amino acid sequence , 2004, Proteomics.