AIMC Topic: Protein Processing, Post-Translational

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FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites.

Briefings in bioinformatics Nov 19, 2022
Glutarylation is a post-translational modification which plays an irreplaceable role in various functions of the cell. Therefore, it is very important to accurately identify the glutarylation substrates and its corresponding glutarylation sites. In r...
Algorithms Protein Processing, Post-Translational Amino Acids Supervised Machine Learning Computational Biology Support Vector Machine
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PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection.

Briefings in bioinformatics Sep 20, 2022
A newly invented post-translational modification (PTM), phosphoglycerylation, has shown its essential role in the construction and functional properties of proteins and dangerous human diseases. Hence, it is very urgent to know about the molecular me...
Lysine Proteins Amino Acid Sequence Humans Algorithms Support Vector Machine Protein Processing, Post-Translational Computational Biology
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Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.

Briefings in bioinformatics Mar 10, 2022
Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. H...
Software Algorithms Deep Learning Neural Networks, Computer Databases, Factual User-Computer Interface ROC Curve Computational Biology Reproducibility of Results Protein Processing, Post-Translational Phosphorylation Lysine
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BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models.

Bioinformatics (Oxford, England) Jan 12, 2022
MOTIVATION: As one of the most important post-translational modifications (PTMs), protein lysine crotonylation (Kcr) has attracted wide attention, which involves in important physiological activities, such as cell differentiation and metabolism. Howe...
Lysine Machine Learning Protein Processing, Post-Translational Natural Language Processing Language
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Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Posttranslational modification (PTM ) is a ubiquitous phenomenon in both eukaryotes and prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two flavors: covalent modification to polypeptide chain and proteolytic cleavage...
Deep Learning Mass Spectrometry Protein Processing, Post-Translational Proteomics Proteins
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Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models - Development, Validation, and Interpretation.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Protein posttranslational modifications (PTMs) are a rapidly expanding feature class of significant importance in cell biology. Due to a high burden of experimental proof, the number of functionals PTMs in the eukaryotic proteome is currently underes...
Protein Processing, Post-Translational Machine Learning Proteome Neural Networks, Computer
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Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Protein glycosylation is one of the most complex posttranslational modifications (PTM) that play a fundamental role in protein function. Identification and annotation of these sites using experimental approaches are challenging and time consuming. He...
Amino Acid Sequence Protein Processing, Post-Translational Proteins Glycosylation Support Vector Machine Humans Mice Animals Computational Biology
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PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information.

Bioinformatics (Oxford, England) Dec 11, 2021
MOTIVATION: Phosphorylation is one of the most studied post-translational modifications, which plays a pivotal role in various cellular processes. Recently, deep learning methods have achieved great success in prediction of phosphorylation sites, but...
Amino Acid Sequence Proteins Phosphorylation Neural Networks, Computer Protein Processing, Post-Translational
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nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning.

Briefings in bioinformatics Nov 5, 2021
Lysine crotonylation (Kcr) is a newly discovered type of protein post-translational modification and has been reported to be involved in various pathophysiological processes. High-resolution mass spectrometry is the primary approach for identificatio...
Software Deep Learning Computational Biology Humans Databases, Protein Histones Protein Processing, Post-Translational Sequence Analysis, Protein
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A comprehensive review of the imbalance classification of protein post-translational modifications.

Briefings in bioinformatics Sep 2, 2021
Post-translational modifications (PTMs) play significant roles in regulating protein structure, activity and function, and they are closely involved in various pathologies. Therefore, the identification of associated PTMs is the foundation of in-dept...
Reproducibility of Results Models, Biological Computational Biology Proteins Machine Learning Humans Protein Processing, Post-Translational Databases, Protein Algorithms Neural Networks, Computer
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