Boosting phosphorylation site prediction with sequence feature‐based machine learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Boosting phosphorylation site prediction with sequence feature‐based machine learning
Authors
Keywords
-
Journal
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-08-15
DOI
10.1002/prot.25801
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
- (2018) Fuyi Li et al. BIOINFORMATICS
- UniProt: the universal protein knowledgebase
- (2018) The UniProt Consortium NUCLEIC ACIDS RESEARCH
- PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only
- (2017) Leyi Wei et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- The I-TASSER Suite: protein structure and function prediction
- (2015) Jianyi Yang et al. NATURE METHODS
- Protein Phosphorylation: A Major Switch Mechanism for Metabolic Regulation
- (2015) Sean J. Humphrey et al. TRENDS IN ENDOCRINOLOGY AND METABOLISM
- PhosphoSVM: prediction of phosphorylation sites by integrating various protein sequence attributes with a support vector machine
- (2014) Yongchao Dou et al. AMINO ACIDS
- GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs
- (2014) Qi Zhao et al. NUCLEIC ACIDS RESEARCH
- PhosphoSitePlus, 2014: mutations, PTMs and recalibrations
- (2014) Peter V. Hornbeck et al. NUCLEIC ACIDS RESEARCH
- EvoDesign: de novo protein design based on structural and evolutionary profiles
- (2013) Pralay Mitra et al. NUCLEIC ACIDS RESEARCH
- A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction
- (2013) Renxiang Yan et al. Scientific Reports
- An Evolution-Based Approach to De Novo Protein Design and Case Study on Mycobacterium tuberculosis
- (2013) Pralay Mitra et al. PLoS Computational Biology
- Computational prediction of eukaryotic phosphorylation sites
- (2011) B. Trost et al. BIOINFORMATICS
- GPS-YNO2: computational prediction of tyrosine nitration sites in proteins
- (2011) Zexian Liu et al. Molecular BioSystems
- PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
- (2010) Inkyung Jung et al. BMC BIOINFORMATICS
- Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates
- (2010) Boris Sobolev et al. BMC BIOINFORMATICS
- Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites
- (2010) Jianjiong Gao et al. MOLECULAR & CELLULAR PROTEOMICS
- The regulation of protein phosphorylation
- (2009) Louise N. Johnson BIOCHEMICAL SOCIETY TRANSACTIONS
- SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
- (2008) Paul D Yoo et al. BMC BIOINFORMATICS
- GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy
- (2008) Yu Xue et al. MOLECULAR & CELLULAR PROTEOMICS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now