AIMC Topic: Lysine

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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 ...
Neural Networks, Computer Software Algorithms Humans Protein Processing, Post-Translational Proteins Lysine Computational Biology Cluster Analysis Convolutional Neural Networks
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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 ...
Lysine Natural Language Processing Protein Processing, Post-Translational Protein Domains Amino Acid Sequence
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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...
Lysine Deep Learning Protein Processing, Post-Translational Machine Learning Proteins
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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 Protein Processing, Post-Translational Proteins Amino Acid Sequence Computational Biology Humans Support Vector Machine Algorithms
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DeepHisCoM: deep learning pathway analysis using hierarchical structural component models.

Briefings in bioinformatics Sep 20, 2022
Many statistical methods for pathway analysis have been used to identify pathways associated with the disease along with biological factors such as genes and proteins. However, most pathway analysis methods neglect the complex nonlinear relationship ...
Gonadotropin-Releasing Hormone Tryptophan Isoleucine Carcinoma, Hepatocellular Mitogen-Activated Protein Kinases Phenylalanine Lysine Tyrosine Leucine Valine Humans Deep Learning Liver Neoplasms COVID-19 Biological Factors
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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 Neural Networks, Computer Protein Processing, Post-Translational Deep Learning Phosphorylation User-Computer Interface Computational Biology ROC Curve Databases, Factual Reproducibility of Results 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...
Natural Language Processing Lysine Machine Learning Language Protein Processing, Post-Translational
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Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method.

Briefings in bioinformatics Jul 20, 2021
As a newly discovered protein posttranslational modification, histone lysine crotonylation (Kcr) involved in cellular regulation and human diseases. Various proteomics technologies have been developed to detect Kcr sites. However, experimental approa...
Acylation Crotonates Humans Databases, Protein Lysine Sequence Analysis, Protein Deep Learning Protein Processing, Post-Translational
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Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.

Briefings in bioinformatics Sep 25, 2020
Protein lysine acetylation regulation is an important molecular mechanism for regulating cellular processes and plays critical physiological and pathological roles in cancers and diseases. Although massive acetylation sites have been identified throu...
Lysine Histone Deacetylases Datasets as Topic Acetylation Humans Deep Learning Internet Neoplasms
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Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.

Briefings in bioinformatics Nov 27, 2019
As a newly discovered post-translational modification (PTM), lysine malonylation (Kmal) regulates a myriad of cellular processes from prokaryotes to eukaryotes and has important implications in human diseases. Despite its functional significance, com...
Malonates Animals Computational Biology Lysine Humans Machine Learning
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