Research graph
References from Mini-review: Recent advances in post-translational modification site prediction based on deep learning. Local targets link to admitted publications; unresolved targets remain external evidence.
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Capsule network for protein post-translational modification site prediction
10.1093/bioinformatics/bty977 · 2018 · External reference
DeepPhos: prediction of protein phosphorylation sites with deep learning
10.1093/bioinformatics/bty1051 · 2019 · External reference
A deep learning method to more accurately recall known lysine acetylation sites
10.1186/s12859-019-2632-9 · 2019 · External reference
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2017 · External reference
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10.1042/bst0370627 · External reference
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10.1038/nmeth.4580 · External reference
Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes
10.1093/gigascience/giw015 · 2017 · External reference
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10.1142/s0219720020500183
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10.1016/j.ab.2020.113955 · 2021 · External reference
10.1093/bioinformatics/btac083
10.1093/bioinformatics/btac083 · External reference
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10.1093/bioinformatics/bty140 · 2018 · External reference
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10.1093/bioinformatics/btaa013 · External reference
10.1007/978-3-030-47436-2_29
10.1007/978-3-030-47436-2_29 · 2020 · External reference
A deep learning framework to predict phosphorylation sites that specifically interact with phosphoprotein-binding domains
2020 · External reference
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
2021 · External reference
PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information
10.1093/bioinformatics/btab551 · 2021 · External reference
10.1016/j.tibs.2015.12.006
10.1016/j.tibs.2015.12.006 · External reference
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10.1016/j.celrep.2012.07.006 · External reference
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10.1016/j.jtbi.2018.10.047 · External reference
Analysis and prediction of human acetylation using a cascade classifier based on support vector machine
10.1186/s12859-019-2938-7 · 2019 · External reference
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2020 · External reference
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2021 · External reference
10.1093/bioinformatics/bty444
10.1093/bioinformatics/bty444 · External reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
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10.1016/j.jtbi.2010.01.013
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10.1152/physrev.00027.2001 · External reference
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10.1006/scdb.2000.0164 · External reference
The ubiquitin system for protein degradation and some of its roles in the control of the cell division cycle
10.1038/sj.cdd.4401702 · 2005 · External reference
Regulation of p63 protein stability via ubiquitin-proteasome pathway
2014 · External reference
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10.1038/nsmb.2806 · 2014 · External reference
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Ubiquitin-specific proteases in inflammatory bowel disease-related signalling pathway regulation
10.1038/s41419-022-04566-6 · 2022 · External reference
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10.1021/bi015940q · External reference
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10.1038/nbt849 · 2003 · External reference
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10.1073/pnas.0812892106 · External reference
Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences
10.1186/s12859-016-0959-z · 2016 · External reference
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
10.1371/journal.pone.0022930 · 2011 · External reference
Prediction of protein ubiquitination sites in arabidopsis thaliana
10.2174/1574893614666190311141647 · 2019 · External reference
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10.1186/1471-2105-8-126 · 2007 · External reference
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2011 · External reference
10.1093/nar/gks1103
10.1093/nar/gks1103 · External reference
Incorporating deep learning with word embedding to identify plant ubiquitylation sites
10.3389/fcell.2020.572195 · 2020 · External reference
DeepTL-Ubi: A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species
10.1016/j.ymeth.2020.08.003 · 2021 · External reference
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10.3390/genes12050717 · 2021 · External reference
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10.1186/s12918-015-0246-z · 2016 · External reference
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10.7717/peerj-cs.683 · 2021 · External reference
10.1109/access.2021.3049142
10.1109/access.2021.3049142 · External reference
MDCAN-Lys: A model for predicting succinylation sites based on multilane dense convolutional attention network
2021 · External reference
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10.1155/2021/9923112 · 2021 · External reference
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10.1016/j.chemolab.2020.104175 · 2020 · External reference
K_net: lysine malonylation sites identification with neural network
10.1109/access.2019.2961941 · 2020 · External reference
DeepCSO: A deep-learning network approach to predicting cysteine S-sulphenylation sites
2020 · External reference
DeepSSPred: a deep learning based sulfenylation site predictor via a novel nsegmented optimize federated feature encoder
10.2174/0929866527666201202103411 · 2021 · External reference
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
10.1093/bib/bbab146 · 2021 · External reference
Identification of protein lysine crotonylation sites by a deep learning framework with convolutional neural networks
10.1109/access.2020.2966592 · 2020 · External reference
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
10.1093/bib/bbaa255 · 2021 · External reference
10.1109/access.2021.3068413
10.1109/access.2021.3068413 · External reference
DeepKhib: A deep-learning framework for lysine 2-hydroxyisobutyrylation sites prediction
2020 · External reference
10.1109/tensymp50017.2020.9230866
10.1109/tensymp50017.2020.9230866 · 2020 · External reference
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10.2174/2212392xmta3wmtij0 · 2021 · External reference
PreCar_Deep: A deep learning framework for prediction of protein carbonylation sites based on Borderline-SMOTE strategy
10.1016/j.chemolab.2021.104428 · 2021 · External reference
an ensemble deep learning based predictor for simultaneously identifying protein ubiquitylation and SUMOylation sites
10.1186/s12859-021-04445-5 · 2021 · External reference
DTL-DephosSite: Deep transfer learning based approach to predict dephosphorylation sites
10.3389/fcell.2021.662983 · 2021 · External reference
Recent advances in machine learning methods for predicting heat shock proteins
10.2174/1389200219666181031105916 · 2019 · External reference
Analysis and prediction of animal toxins by various Chou's pseudo components and reduced amino acid compositions
10.1016/j.jtbi.2018.11.010 · 2019 · External reference
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