Computational Prediction of Ubiquitination Proteins Using Evolutionary Profiles and Functional Domain Annotation
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Computational Prediction of Ubiquitination Proteins Using Evolutionary Profiles and Functional Domain Annotation
Authors
Keywords
-
Journal
CURRENT GENOMICS
Volume 20, Issue 5, Pages 389-399
Publisher
Bentham Science Publishers Ltd.
Online
2019-11-04
DOI
10.2174/1389202919666191014091250
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Capsule network for protein post-translational modification site prediction
- (2018) Duolin Wang et al. BIOINFORMATICS
- Systematic approaches to identify E3 ligase substrates
- (2016) M. Iconomou et al. BIOCHEMICAL JOURNAL
- Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences
- (2016) Binghuang Cai et al. BMC BIOINFORMATICS
- UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines
- (2016) Chien-Hsun Huang et al. BMC Systems Biology
- iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory
- (2016) Wang-Ren Qiu et al. Molecular Informatics
- UniProt: the universal protein knowledgebase
- (2016) NUCLEIC ACIDS RESEARCH
- Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
- (2015) Bin Liu et al. NUCLEIC ACIDS RESEARCH
- Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features
- (2014) Zhen Chen et al. BRIEFINGS IN BIOINFORMATICS
- Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites
- (2013) Xiang Chen et al. BIOINFORMATICS
- Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model
- (2012) Wei-Zhong Lin et al. PLoS One
- The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012
- (2012) T. K. Attwood et al. Database-The Journal of Biological Databases and Curation
- Prediction of lysine ubiquitination with mRMR feature selection and analysis
- (2011) Yudong Cai et al. AMINO ACIDS
- Prediction of Lysine Ubiquitylation with Ensemble Classifier and Feature Selection
- (2011) Xiaowei Zhao et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs
- (2011) Zhen Chen et al. PLoS One
- Some remarks on protein attribute prediction and pseudo amino acid composition
- (2010) Kuo-Chen Chou JOURNAL OF THEORETICAL BIOLOGY
- Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology
- (2009) Kuo-Chen Chou Current Proteomics
- PROSITE, a protein domain database for functional characterization and annotation
- (2009) Christian J. A. Sigrist et al. NUCLEIC ACIDS RESEARCH
- Identification, analysis, and prediction of protein ubiquitination sites
- (2009) Predrag Radivojac et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Application of protein grey incidence degree measure to predict protein quaternary structural types
- (2008) Xuan Xiao et al. AMINO ACIDS
- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
- (2008) Da Wei Huang et al. NUCLEIC ACIDS RESEARCH
- InterPro: the integrative protein signature database
- (2008) S. Hunter et al. NUCLEIC ACIDS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish 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 More