AIMC Topic: Lysine

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Identify and analysis crotonylation sites in histone by using support vector machines.

Artificial intelligence in medicine Mar 7, 2017
OBJECTIVE: Lysine crotonylation (Kcr) is a newly discovered histone posttranslational modification, which is specifically enriched at active gene promoters and potential enhancers in mammalian cell genomes. Although lysine crotonylation sites can be ...
Lysine Histones Mice Computational Biology Support Vector Machine Protein Processing, Post-Translational Databases, Protein Amino Acid Sequence Humans Reproducibility of Results Animals
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Positive-Unlabeled Learning for Pupylation Sites Prediction.

BioMed research international Aug 7, 2016
Pupylation plays a key role in regulating various protein functions as a crucial posttranslational modification of prokaryotes. In order to understand the molecular mechanism of pupylation, it is important to identify pupylation substrates and sites ...
Ubiquitination Machine Learning Algorithms Databases, Protein Support Vector Machine Lysine Protein Processing, Post-Translational Binding Sites Proteins
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Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC.

Journal of theoretical biology Feb 22, 2016
As a new type of post-translational modification, lysine phosphoglycerylation plays a key role in regulating glycolytic process and metabolism in cells. Due to the traditional experimental methods are time-consuming and labor-intensive, it is importa...
Lysine Binding Sites Diphosphoglyceric Acids Computational Biology Support Vector Machine Fuzzy Logic Protein Processing, Post-Translational Amino Acids Amino Acid Sequence Software Algorithms Reproducibility of Results
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UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.

BMC systems biology Jan 11, 2016
BACKGROUND: The conjugation of ubiquitin to a substrate protein (protein ubiquitylation), which involves a sequential process--E1 activation, E2 conjugation and E3 ligation, is crucial to the regulation of protein function and activity in eukaryotes....
Models, Molecular Protein Domains Amino Acid Sequence Datasets as Topic Lysine Ubiquitin Proteomics Ubiquitination Machine Learning Proteome Amino Acid Motifs Software Mass Spectrometry Sequence Analysis, Protein
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Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique.

Journal of theoretical biology Apr 2, 2015
As a widespread type of protein post-translational modifications (PTMs), succinylation plays an important role in regulating protein conformation, function and physicochemical properties. Compared with the labor-intensive and time-consuming experimen...
Molecular Sequence Data Lysine Binding Sites Succinates Protein Processing, Post-Translational Reproducibility of Results Artificial Intelligence Proteins Internet Algorithms Computational Biology Supervised Machine Learning Amino Acids Support Vector Machine Computer Simulation Amino Acid Sequence
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A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism.

Scientific reports May 29, 2025
Lysine crotonylation (Kcr) is an important post-translational modification, which is present in both histone and non-histone proteins, and plays a key role in a variety of biological processes such as metabolism and cell differentiation. Therefore, r...
Protein Processing, Post-Translational Humans Lysine Natural Language Processing Neural Networks, Computer Deep Learning Histones
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MlyPredCSED: based on extreme point deviation compensated clustering combined with cross-scale convolutional neural networks to predict multiple lysine sites in human.

Briefings in bioinformatics Mar 4, 2025
In post-translational modification, covalent bonds on lysine and attached chemical groups significantly change proteins' physical and chemical properties. They shape protein structures, enhance function and stability, and are vital for physiological ...
Protein Processing, Post-Translational Proteins Lysine Convolutional Neural Networks Computational Biology Humans Cluster Analysis Neural Networks, Computer Software Algorithms
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Lactylation prediction models based on protein sequence and structural feature fusion.

Briefings in bioinformatics Jan 22, 2024
Lysine lactylation (Kla) is a newly discovered posttranslational modification that is involved in important life activities, such as glycolysis-related cell function, macrophage polarization and nervous system regulation, and has received widespread ...
Protein Processing, Post-Translational Natural Language Processing Protein Domains Amino Acid Sequence Lysine
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Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences.

Database : the journal of biological databases and curation Jan 19, 2024
The post-translational modifications occur as crucial molecular regulatory mechanisms utilized to regulate diverse cellular processes. Malonylation of proteins, a reversible post-translational modification of lysine/k residues, is linked to a variety...
Proteins Lysine Machine Learning Deep Learning Protein Processing, Post-Translational
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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...
Algorithms Computational Biology Support Vector Machine Humans Lysine Protein Processing, Post-Translational Proteins Amino Acid Sequence
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