A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships
出版年份 2017 全文链接
标题
A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships
作者
关键词
-
出版物
Biomed Research International
Volume 2017, Issue -, Pages 1-11
出版商
Hindawi Limited
发表日期
2017-10-13
DOI
10.1155/2017/1826496
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- From phosphoproteins to phosphoproteomes: a historical account
- (2017) Andrea Venerando et al. FEBS Journal
- Inferring Disease Associated Phosphorylation Sites via Random Walk on Multi-Layer Heterogeneous Network
- (2016) Xiaoyi Xu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A novel method for predicting post-translational modifications on serine and threonine sites by using site-modification network profiles
- (2015) Minghui Wang et al. Molecular BioSystems
- Kinase Identification with Supervised Laplacian Regularized Least Squares
- (2015) Ao Li et al. PLoS One
- Deciphering kinase–substrate relationships by analysis of domain-specific phosphorylation network
- (2014) Nikhil Prakash Damle et al. BIOINFORMATICS
- Improving the performance of protein kinase identification via high dimensional protein–protein interactions and substrate structure data
- (2014) Xiaoyi Xu et al. Molecular BioSystems
- Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signaling
- (2014) Kirti Sharma et al. Cell Reports
- Learning a peptide-protein binding affinity predictor with kernel ridge regression
- (2013) Sébastien Giguère et al. BMC BIOINFORMATICS
- PKIS: computational identification of protein kinases for experimentally discovered protein phosphorylation sites
- (2013) Liang Zou et al. BMC BIOINFORMATICS
- Using networks to measure similarity between genes: association index selection
- (2013) Juan I Fuxman Bass et al. NATURE METHODS
- A comprehensive evaluation of multicategory classification methods for microbiomic data
- (2013) Alexander Statnikov et al. Microbiome
- Structural biomarkers predict onset of knee pain: data from the osteoarthritis initiative
- (2012) J.G. Tamez-Pena et al. OSTEOARTHRITIS AND CARTILAGE
- Gaussian interaction profile kernels for predicting drug–target interaction
- (2011) Twan van Laarhoven et al. BIOINFORMATICS
- MINT, the molecular interaction database: 2012 update
- (2011) Luana Licata et al. NUCLEIC ACIDS RESEARCH
- PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse
- (2011) P. V. Hornbeck et al. NUCLEIC ACIDS RESEARCH
- Phosphoproteome analysis of human liver tissue by long-gradient nanoflow LC coupled with multiple stage MS analysis
- (2010) Guanghui Han et al. ELECTROPHORESIS
- Phospho.ELM: a database of phosphorylation sites--update 2011
- (2010) H. Dinkel et al. NUCLEIC ACIDS RESEARCH
- The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
- (2010) D. Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- Reversed-Phase-Reversed-Phase Liquid Chromatography Approach with High Orthogonality for Multidimensional Separation of Phosphopeptides
- (2009) Chunxia Song et al. ANALYTICAL CHEMISTRY
- Identification of substrates for Ser/Thr kinases using residue-based statistical pair potentials
- (2009) Narendra Kumar et al. BIOINFORMATICS
- Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy
- (2009) Zheng Yang BMC BIOINFORMATICS
- The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information
- (2008) N. F. W. Saunders et al. NUCLEIC ACIDS RESEARCH
- Prediction of PK-specific phosphorylation site based on information entropy
- (2008) MingHui Wang et al. Science in China. Series C, Life sciences / Chinese Academy of Sciences
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started