Cargando…

ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins

BACKGROUND: The phosphorylation of virus proteins by host kinases is linked to viral replication. This leads to an inhibition of normal host-cell functions. Further elucidation of phosphorylation in virus proteins is required in order to aid in drug design and treatment. However, only a few studies...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Kai-Yao, Lu, Cheng-Tsung, Bretaña, Neil Arvin, Lee, Tzong-Yi, Chang, Tzu-Hao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853219/ https://www.ncbi.nlm.nih.gov/pubmed/24564381 http://dx.doi.org/10.1186/1471-2105-14-S16-S10

Ejemplares similares

PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity
por: Lee, Tzong-Yi, et al.
Publicado: (2011)

Identifying Protein Phosphorylation Sites with Kinase Substrate Specificity on Human Viruses
por: Bretaña, Neil Arvin, et al.
Publicado: (2012)

Investigation and identification of protein γ-glutamyl carboxylation sites
por: Lee, Tzong-Yi, et al.
Publicado: (2011)

Incorporating Evolutionary Information and Functional Domains for Identifying RNA Splicing Factors in Humans
por: Hsu, Justin Bo-Kai, et al.
Publicado: (2011)

KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites
por: Huang, Hsien-Da, et al.
Publicado: (2005)

KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites
por: Ma, Renfei, et al.
Publicado: (2023)

Characterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities
por: Nguyen, Van-Nui, et al.
Publicado: (2015)

A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs
por: Kao, Hui-Ju, et al.
Publicado: (2015)

PredPhos: an ensemble framework for structure-based prediction of phosphorylation sites
por: Gao, Yong, et al.
Publicado: (2016)

PhosPhAt: the Arabidopsis thaliana phosphorylation site database. An update
por: Durek, Pawel, et al.
Publicado: (2010)

DeepPhos: prediction of protein phosphorylation sites with deep learning
por: Luo, Fenglin, et al.
Publicado: (2019)

RegPhos: a system to explore the protein kinase–substrate phosphorylation network in humans
por: Lee, Tzong-Yi, et al.
Publicado: (2011)

PhosPhAt goes kinases—searchable protein kinase target information in the plant phosphorylation site database PhosPhAt
por: Zulawski, Monika, et al.
Publicado: (2013)

RegPhos 2.0: an updated resource to explore protein kinase–substrate phosphorylation networks in mammals
por: Huang, Kai-Yao, et al.
Publicado: (2014)

PhosPhAt: a database of phosphorylation sites in Arabidopsis thaliana and a plant-specific phosphorylation site predictor
por: Heazlewood, Joshua L., et al.
Publicado: (2008)

dbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications
por: Lu, Cheng-Tsung, et al.
Publicado: (2013)

KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns
por: Wong, Yung-Hao, et al.
Publicado: (2007)

PhosTryp: a phosphorylation site predictor specific for parasitic protozoa of the family trypanosomatidae
por: Palmeri, Antonio, et al.
Publicado: (2011)

PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data
por: Saeed, Fahad, et al.
Publicado: (2013)

PhosIDP: a web tool to visualize the location of phosphorylation sites in disordered regions
por: Nicolaou, Sonia T., et al.
Publicado: (2021)

qPhos: a database of protein phosphorylation dynamics in humans
por: Yu, Kai, et al.
Publicado: (2019)

PhosCalc: A tool for evaluating the sites of peptide phosphorylation from Mass Spectrometer data
por: MacLean, Daniel, et al.
Publicado: (2008)

RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest
por: Ismail, Hamid D., et al.
Publicado: (2016)

SOHSite: incorporating evolutionary information and physicochemical properties to identify protein S-sulfenylation sites
por: Bui, Van-Minh, et al.
Publicado: (2016)

PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy
por: Xu, Ying, et al.
Publicado: (2020)

iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
por: Qiu, Wang-Ren, et al.
Publicado: (2016)

TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture
por: Wang, Xun, et al.
Publicado: (2022)

Monitoring protein phosphorylation by acrylamide pendant Phos-Tag™ in various plants
por: Bekešová, Slávka, et al.
Publicado: (2015)

Phos-tag-based approach to study protein phosphorylation in the thylakoid membrane
por: Nishioka, Keiji, et al.
Publicado: (2020)

PermaPhos(Ser): autonomous synthesis of functional, permanently phosphorylated proteins
por: Zhu, Phillip, et al.
Publicado: (2021)

Current status of the plant phosphorylation site database PhosPhAt and its use as a resource for molecular plant physiology
por: Arsova, Borjana, et al.
Publicado: (2012)

GasPhos: Protein Phosphorylation Site Prediction Using a New Feature Selection Approach with a GA-Aided Ant Colony System
por: Chen, Chi-Wei, et al.
Publicado: (2020)

Phosphorylation of the Chloroplastic Metalloprotease FtsH in Arabidopsis Characterized by Phos-Tag SDS-PAGE
por: Kato, Yusuke, et al.
Publicado: (2019)

The PHOS Detector at ALICE
por: Sugitate, T
Publicado: (2006)

PHOS Module Spectrometer
por: Sylvie Prodon
Publicado: (2005)

PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information
por: Yang, Hangyuan, et al.
Publicado: (2021)

GSHSite: Exploiting an Iteratively Statistical Method to Identify S-Glutathionylation Sites with Substrate Specificity
por: Chen, Yi-Ju, et al.
Publicado: (2015)

Incorporating substrate sequence motifs and spatial amino acid composition to identify kinase-specific phosphorylation sites on protein three-dimensional structures
por: Su, Min-Gang, et al.
Publicado: (2013)

Crystal structure of the RuPhos ligand
por: Carsch, Kurtis M., et al.
Publicado: (2021)

Phos-Tag-Based Analysis of Myosin Regulatory Light Chain Phosphorylation in Human Uterine Myocytes
por: Aguilar, Hector N., et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_45m8m87479759aml9l4ufpoo80