SNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity.
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Prediction of S-nitrosylation modification sites based on kernel sparse representation classification and mRMR algorithm.Cysteines under ROS attack in plants: a proteomics view.An intelligent system for identifying acetylated lysine on histones and nonhistone proteinsViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins.Protein S-nitrosylation: specificity and identification strategies in plantsCharacterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities.dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein S-nitrosylation.Computational prediction of candidate proteins for S-nitrosylation in Arabidopsis thalianaCharacterization and identification of protein O-GlcNAcylation sites with substrate specificity.A new scheme to discover functional associations and regulatory networks of E3 ubiquitin ligases.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.S-nitrosylation of EGFR and Src activates an oncogenic signaling network in human basal-like breast cancer.Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features.dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteinsMechanisms of S-nitrosothiol formation and selectivity in nitric oxide signaling.DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications.Nitric oxide-based protein modification: formation and site-specificity of protein S-nitrosylationProtein expression profiling of nuclear membrane protein reveals potential biomarker of human hepatocellular carcinomadbGSH: a database of S-glutathionylation.MDD-Palm: Identification of protein S-palmitoylation sites with substrate motifs based on maximal dependence decomposition.UbiNet: an online resource for exploring the functional associations and regulatory networks of protein ubiquitylation.MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs.Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid composition.S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS.Study of adenylyl cyclase-GαS interactions and identification of novel AC ligands.MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs.Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions.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.Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method.Computational Structural Biology of -nitrosylation of Cancer Targets
P2860
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P2860
SNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
SNOSite: exploiting maximal de ...... th substrate site specificity.
@ast
SNOSite: exploiting maximal de ...... th substrate site specificity.
@en
type
label
SNOSite: exploiting maximal de ...... th substrate site specificity.
@ast
SNOSite: exploiting maximal de ...... th substrate site specificity.
@en
prefLabel
SNOSite: exploiting maximal de ...... th substrate site specificity.
@ast
SNOSite: exploiting maximal de ...... th substrate site specificity.
@en
P2093
P2860
P1433
P1476
SNOSite: exploiting maximal de ...... th substrate site specificity.
@en
P2093
Hsien-Da Huang
Tsung-Cheng Lu
Tzong-Yi Lee
Yi-Ju Chen
Yu-Ju Chen
P2860
P304
P356
10.1371/JOURNAL.PONE.0021849
P407
P577
2011-07-15T00:00:00Z