nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
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Title
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-03-26
DOI
10.1093/bib/bbab146
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Note: Only part of the references are listed.- BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
- (2021) Phasit Charoenkwan et al. BIOINFORMATICS
- iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
- (2021) Zhen Chen et al. NUCLEIC ACIDS RESEARCH
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- (2020) Lifan Chen et al. BIOINFORMATICS
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- (2020) Niraj Thapa et al. BMC BIOINFORMATICS
- Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana
- (2020) Md. Parvez Mosharaf et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- PROSPECT: A web server for predicting protein histidine phosphorylation sites
- (2020) Zhen Chen et al. Journal of Bioinformatics and Computational Biology
- Global crotonylome reveals CDYL-regulated RPA1 crotonylation in homologous recombination–mediated DNA repair
- (2020) Huajing Yu et al. Science Advances
- Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
- (2020) Cheng Chen et al. COMPUTERS IN BIOLOGY AND MEDICINE
- SuccSite: Incorporating Amino Acid Composition and Informative k-spaced Amino Acid Pairs to Identify Protein Succinylation Sites
- (2020) Hui-Ju Kao et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
- (2020) Hao Lv et al. BRIEFINGS IN BIOINFORMATICS
- AE-LGBM: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and LightGBM
- (2020) Abhibhav Sharma et al. COMPUTERS IN BIOLOGY AND MEDICINE
- DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information
- (2020) Saeed Ahmed et al. ANALYTICAL BIOCHEMISTRY
- Prediction Of Histone Post-Translational Modifications Using Deep Learning
- (2020) Dipankar Ranjan Baisya et al. BIOINFORMATICS
- RBPsuite: RNA-protein binding sites prediction suite based on deep learning
- (2020) Xiaoyong Pan et al. BMC GENOMICS
- A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease
- (2019) Long Pang et al. Frontiers in Genetics
- Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites
- (2019) Zhen Chen et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework
- (2019) Shiping Yang et al. mSystems
- DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
- (2019) Bin Liu et al. BRIEFINGS IN BIOINFORMATICS
- iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
- (2019) Sharaf Jameel Malebary et al. PLoS One
- Modeling aspects of the language of life through transfer-learning protein sequences
- (2019) Michael Heinzinger et al. BMC BIOINFORMATICS
- Deep learning for mining protein data
- (2019) Qiang Shi et al. BRIEFINGS IN BIOINFORMATICS
- Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation
- (2019) Nguyen Quoc Khanh Le et al. Frontiers in Physiology
- Quantitative Crotonylome Analysis Expands the Roles of p300 in the Regulation of Lysine Crotonylation Pathway
- (2018) He Huang et al. PROTEOMICS
- ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine
- (2018) Prabina K. Meher et al. Frontiers in Genetics
- OUP accepted manuscript
- (2018) BRIEFINGS IN BIOINFORMATICS
- OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction
- (2018) Fatima Zohra Smaili et al. BIOINFORMATICS
- PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization
- (2018) Jialin Yu et al. BIOINFORMATICS
- PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine
- (2018) Lei Deng et al. BMC BIOINFORMATICS
- Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
- (2018) Quan Zou et al. RNA
- iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier
- (2017) Wang-Ren Qiu et al. GENOMICS
- Prediction of lysine crotonylation sites by incorporating the composition of k -spaced amino acid pairs into Chou’s general PseAAC
- (2017) Zhe Ju et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
- Ultradeep Lysine Crotonylome Reveals the Crotonylation Enhancement on Both Histones and Nonhistone Proteins by SAHA Treatment
- (2017) Quan Wu et al. JOURNAL OF PROTEOME RESEARCH
- Large-Scale Identification of Protein Crotonylation Reveals Its Role in Multiple Cellular Functions
- (2017) Wei Wei et al. JOURNAL OF PROTEOME RESEARCH
- Prediction of protein-protein interactions by label propagation with protein evolutionary and chemical information derived from heterogeneous network
- (2017) Yu-Ting Wen et al. JOURNAL OF THEORETICAL BIOLOGY
- Molecular Coupling of Histone Crotonylation and Active Transcription by AF9 YEATS Domain
- (2016) Yuanyuan Li et al. MOLECULAR CELL
- Selective recognition of histone crotonylation by double PHD fingers of MOZ and DPF2
- (2016) Xiaozhe Xiong et al. Nature Chemical Biology
- The Taf14 YEATS domain is a reader of histone crotonylation
- (2016) Forest H Andrews et al. Nature Chemical Biology
- Intracellular Crotonyl-CoA Stimulates Transcription through p300-Catalyzed Histone Crotonylation
- (2015) Benjamin R. Sabari et al. MOLECULAR CELL
- hCKSAAP_UbSite: Improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties
- (2013) Zhen Chen et al. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS
- ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences
- (2013) Zhen Chen et al. Molecular BioSystems
- pLogo: a probabilistic approach to visualizing sequence motifs
- (2013) Joseph P O'Shea et al. NATURE METHODS
- SUMOhydro: A Novel Method for the Prediction of Sumoylation Sites Based on Hydrophobic Properties
- (2012) Yong-Zi Chen et al. PLoS One
- PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage Sites
- (2012) Jiangning Song et al. PLoS One
- Histone crotonylation specifically marks the haploid male germ cell gene expression program
- (2011) Emilie Montellier et al. BIOESSAYS
- Identification of 67 Histone Marks and Histone Lysine Crotonylation as a New Type of Histone Modification
- (2011) Minjia Tan et al. CELL
- Classification and retrieval on macroinvertebrate image databases
- (2011) Serkan Kiranyaz et al. COMPUTERS IN BIOLOGY AND MEDICINE
- The UniProt-GO Annotation database in 2011
- (2011) E. C. Dimmer et al. NUCLEIC ACIDS RESEARCH
- Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs
- (2011) Zhen Chen et al. PLoS One
- Cascleave: towards more accurate prediction of caspase substrate cleavage sites
- (2010) Jiangning Song et al. BIOINFORMATICS
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
- Prediction of protein solubility inEscherichia coliusing logistic regression
- (2009) Armando A. Diaz et al. BIOTECHNOLOGY AND BIOENGINEERING
- Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs
- (2008) Yong-Zi Chen et al. BMC BIOINFORMATICS
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