Incorporating support vector machine for identifying protein tyrosine sulfation sites.
about
Crystal Structure of Human Antibody 2909 Reveals Conserved Features of Quaternary Structure-Specific Antibodies That Potently Neutralize HIV-1iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid compositioniSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteinsSNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity.Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificityInvestigation and identification of protein γ-glutamyl carboxylation sites.ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins.Systematic analysis of the in situ crosstalk of tyrosine modifications reveals no additional natural selection on multiply modified residues.Incorporating substrate sequence motifs and spatial amino acid composition to identify kinase-specific phosphorylation sites on protein three-dimensional structures.GSHSite: exploiting an iteratively statistical method to identify s-glutathionylation sites with substrate specificityCharacterization and identification of protein O-GlcNAcylation sites with substrate specificity.Demonstration of the Coexistence of Duplicated LH Receptors in Teleosts, and Their Origin in Ancestral Actinopterygians.Host-targeting protein 1 (SpHtp1) from the oomycete Saprolegnia parasitica translocates specifically into fish cells in a tyrosine-O-sulphate-dependent manner.UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.SOHSite: incorporating evolutionary information and physicochemical properties to identify protein S-sulfenylation sitesIdentifying protein phosphorylation sites with kinase substrate specificity on human viruses.Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features.Minor fibrillar collagens, variable regions alternative splicing, intrinsic disorder, and tyrosine sulfationA Multifeatures Fusion and Discrete Firefly Optimization Method for Prediction of Protein Tyrosine Sulfation Residues.dbGSH: a database of S-glutathionylation.CCR7 Sulfotyrosine Enhances CCL21 Binding.MDD-Palm: Identification of protein S-palmitoylation sites with substrate motifs based on maximal dependence decomposition.HydPred: a novel method for the identification of protein hydroxylation sites that reveals new insights into human inherited disease.MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs.iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity.Differences in Sulfotyrosine Binding amongst CXCR1 and CXCR2 Chemokine Ligands.Prediction of post-translational modification sites using multiple kernel support vector machine.CarSite: identifying carbonylated sites of human proteins based on a one-sided selection resampling method.MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs.EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC.A new scheme for strain typing of methicillin-resistant Staphylococcus aureus on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using machine learning approach.
P2860
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P2860
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
description
2009 nî lūn-bûn
@nan
2009 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@ast
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@en
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@nl
type
label
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@ast
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@en
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@nl
prefLabel
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@ast
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@en
Incorporating support vector machine for identifying protein tyrosine sulfation sites.
@nl
P2093
P356
P1476
Incorporating support vector machine for identifying protein tyrosine sulfation sites
@en
P2093
Dray-Ming Shien
Hsien-Da Huang
Jorng-Tzong Horng
Justin Bo-Kai Hsu
Po-Chiang Hsu
Rong-Long Pan
Ting-Yuan Wang
Tzong-Yi Lee
P304
P356
10.1002/JCC.21258
P577
2009-11-01T00:00:00Z