AIMC Topic: Lysine

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HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Genomics, proteomics & bioinformatics Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
Humans Machine Learning Proteome Proteins Area Under Curve Algorithms Neoplasms ROC Curve Amino Acid Sequence Species Specificity Lysine Succinic Acid Acylation
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Accurate prediction of species-specific 2-hydroxyisobutyrylation sites based on machine learning frameworks.

Analytical biochemistry May 28, 2020
Lysine 2-hydroxyisobutyrylation (K) is a newly discovered post-translational modification (PTM) across eukaryotes and prokaryotes in recent years, which plays a significant role in diverse cellular functions. Accurate prediction of K sites is a first...
Species Specificity Seeds Lysine Protein Processing, Post-Translational Hydroxybutyrates Oryza Humans Machine Learning HeLa Cells Bryopsida Saccharomyces cerevisiae
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DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

BMC bioinformatics Apr 23, 2020
BACKGROUND: Protein succinylation has recently emerged as an important and common post-translation modification (PTM) that occurs on lysine residues. Succinylation is notable both in its size (e.g., at 100 Da, it is one of the larger chemical PTMs) a...
Citric Acid Cycle Deep Learning Lysine Protein Processing, Post-Translational Binding Sites Proteins Succinates
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Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method.

Scientific reports Nov 7, 2019
Succinylation is a type of protein post-translational modification (PTM), which can play important roles in a variety of cellular processes. Due to an increasing number of site-specific succinylated peptides obtained from high-throughput mass spectro...
Sequence Analysis, Protein Databases, Protein Lysine Succinic Acid Deep Learning Protein Processing, Post-Translational Proteins
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Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.

BMC bioinformatics Jun 17, 2019
BACKGROUND: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in protein...
Gene Ontology Protein Structure, Secondary Position-Specific Scoring Matrices Acetylation Lysine Molecular Sequence Annotation Mice Databases, Protein Amino Acid Sequence Computational Biology Rats Support Vector Machine Protein Processing, Post-Translational Proteins Humans Animals
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DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins.

BMC bioinformatics Feb 18, 2019
BACKGROUND: Protein ubiquitination occurs when the ubiquitin protein binds to a target protein residue of lysine (K), and it is an important regulator of many cellular functions, such as signal transduction, cell division, and immune reactions, in eu...
Humans Neural Networks, Computer Software Deep Learning Proteomics Ubiquitinated Proteins Proteome Lysine Ubiquitination
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A deep learning method to more accurately recall known lysine acetylation sites.

BMC bioinformatics Jan 23, 2019
BACKGROUND: Lysine acetylation in protein is one of the most important post-translational modifications (PTMs). It plays an important role in essential biological processes and is related to various diseases. To obtain a comprehensive understanding o...
Lysine Deep Learning Protein Processing, Post-Translational Acetylation
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Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites.

Genomics, proteomics & bioinformatics Jan 11, 2019
As a newly-identified protein post-translational modification, malonylation is involved in a variety of biological functions. Recognizing malonylation sites in substrates represents an initial but crucial step in elucidating the molecular mechanisms ...
Amino Acids Animals Malonates Amino Acid Sequence Machine Learning Deep Learning Lysine Forecasting Protein Processing, Post-Translational
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Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC.

Journal of theoretical biology Oct 23, 2018
Lysine acetylation is one of the most important types of protein post-translational modifications (PTM) that are widely involved in cellular regulatory processes. To fully understand the regulatory mechanism of acetylation, identification of acetylat...
Bacteria Binding Sites Computational Biology Prokaryotic Cells Support Vector Machine Species Specificity Acetylation Lysine Protein Processing, Post-Translational Bacterial Proteins Datasets as Topic
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Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm.

Analytical biochemistry Sep 12, 2018
Lipoylation is a highly conserved post-translational modification which has been found to be involved in many biological processes and closely associated with various metabolic diseases. The accurate identification of lipoylation sites is necessary t...
Support Vector Machine Bayes Theorem Fuzzy Logic Lysine Lipoylation
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