DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information
出版年份 2020 全文链接
标题
DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information
作者
关键词
Post-translation modification, Phosphorylation sites, Deep learning, Stacked long short term memory, Sequence feature information
出版物
ANALYTICAL BIOCHEMISTRY
Volume 612, Issue -, Pages 113955
出版商
Elsevier BV
发表日期
2020-09-16
DOI
10.1016/j.ab.2020.113955
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A deep learning method to more accurately recall known lysine acetylation sites
- (2019) Meiqi Wu et al. BMC BIOINFORMATICS
- ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High Efficiency Feature Representation
- (2019) Hai-Cheng Yi et al. Molecular Therapy-Nucleic Acids
- Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination
- (2019) Muhammad Arif et al. GENOMICS
- Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network
- (2019) Buzhong Zhang et al. NEUROCOMPUTING
- SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
- (2019) Shaherin Basith et al. Molecular Therapy-Nucleic Acids
- 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
- Computational Prediction and Analysis for Tyrosine Post-Translational Modifications via Elastic Net
- (2018) Man Cao et al. Journal of Chemical Information and Modeling
- iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition
- (2018) Muhammad Arif et al. JOURNAL OF THEORETICAL BIOLOGY
- EL_LSTM: Prediction of DNA-binding residue from Protein sequence by Combining Long Short-Term Memory and Ensemble Learning
- (2018) Jiyun Zhou et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Recurrent Neural Network for Predicting Transcription Factor Binding Sites
- (2018) Zhen Shen et al. Scientific Reports
- DeepPhos: prediction of protein phosphorylation sites with deep learning
- (2018) Fenglin Luo et al. BIOINFORMATICS
- PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization
- (2018) Jialin Yu et al. BIOINFORMATICS
- An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data
- (2018) Saeed Ahmed et al. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
- Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
- (2018) Baoguang Tian et al. JOURNAL OF THEORETICAL BIOLOGY
- PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only
- (2017) Leyi Wei et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Post-translational Modifications and Protein Quality Control in Motor Neuron and Polyglutamine Diseases
- (2017) Fabio Sambataro et al. Frontiers in Molecular Neuroscience
- Protein post-translational modifications: In silico prediction tools and molecular modeling
- (2017) Martina Audagnotto et al. Computational and Structural Biotechnology Journal
- iSS-PC: Identifying Splicing Sites via Physical-Chemical Properties Using Deep Sparse Auto-Encoder
- (2017) Zhao-Chun Xu et al. Scientific Reports
- TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
- (2016) Guang-Qing Li et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Protein Phosphorylation: A Major Switch Mechanism for Metabolic Regulation
- (2015) Sean J. Humphrey et al. TRENDS IN ENDOCRINOLOGY AND METABOLISM
- iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity
- (2015) Yan Xu et al. Scientific Reports
- PhosphoSVM: prediction of phosphorylation sites by integrating various protein sequence attributes with a support vector machine
- (2014) Yongchao Dou et al. AMINO ACIDS
- Mining Conditional Phosphorylation Motifs
- (2014) Xiaoqing Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A Multi-label Classifier for Prediction Membrane Protein Functional Types in Animal
- (2014) Hong-Liang Zou JOURNAL OF MEMBRANE BIOLOGY
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Covalent Small Ubiquitin-like Modifier (SUMO) Modification of Maf1 Protein Controls RNA Polymerase III-dependent Transcription Repression
- (2013) Aarti D. Rohira et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Prediction of posttranslational modification sites from amino acid sequences with kernel methods
- (2013) Yan Xu et al. JOURNAL OF THEORETICAL BIOLOGY
- A method to distinguish between lysine acetylation and lysine methylation from protein sequences
- (2012) Shao-Ping Shi et al. JOURNAL OF THEORETICAL BIOLOGY
- Computational prediction of eukaryotic phosphorylation sites
- (2011) B. Trost et al. BIOINFORMATICS
- Motif-All: discovering all phosphorylation motifs
- (2011) Zengyou He et al. BMC BIOINFORMATICS
- Phosphorylation in Protein-Protein Binding: Effect on Stability and Function
- (2011) Hafumi Nishi et al. STRUCTURE
- Proteome-wide post-translational modification statistics: frequency analysis and curation of the swiss-prot database
- (2011) George A. Khoury et al. Scientific Reports
- AMS 3.0: Prediction of Post-Translational Modifications
- (2010) Subhadip Basu 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
- Identifying Human Kinase-Specific Protein Phosphorylation Sites by Integrating Heterogeneous Information from Various Sources
- (2010) Tingting Li et al. PLoS One
- An ensemble of reduced alphabets with protein encoding based on grouped weight for predicting DNA-binding proteins
- (2008) Loris Nanni et al. AMINO ACIDS
- Computational identification of ubiquitylation sites from protein sequences
- (2008) Chun-Wei Tung et al. BMC BIOINFORMATICS
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