AIMC Topic: Lysine

Clear Filters Showing 21 to 30 of 55 articles

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...
Databases, Protein Lysine Succinic Acid Sequence Analysis, Protein Deep Learning Protein Processing, Post-Translational Proteins
View on PubMed DOI

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...
Rats Gene Ontology Support Vector Machine Protein Structure, Secondary Protein Processing, Post-Translational Acetylation Animals Position-Specific Scoring Matrices Humans Lysine Mice Proteins Molecular Sequence Annotation Computational Biology Databases, Protein Amino Acid Sequence
View on PubMed DOI

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...
Deep Learning Proteomics Proteome Lysine Humans Neural Networks, Computer Software Ubiquitination Ubiquitinated Proteins
View on PubMed DOI

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...
Protein Processing, Post-Translational Acetylation Lysine Deep Learning
View on PubMed DOI

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 Acid Sequence Lysine Malonates Deep Learning Machine Learning Protein Processing, Post-Translational Forecasting Amino Acids Animals
View on PubMed DOI

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...
Binding Sites Prokaryotic Cells Protein Processing, Post-Translational Bacterial Proteins Datasets as Topic Species Specificity Acetylation Lysine Bacteria Computational Biology Support Vector Machine
View on PubMed DOI

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...
Bayes Theorem Lysine Lipoylation Support Vector Machine Fuzzy Logic
View on PubMed DOI

Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

Journal of computational chemistry May 14, 2018
Malonylation is a recently discovered post-translational modification (PTM) in which a malonyl group attaches to a lysine (K) amino acid residue of a protein. In this work, a novel machine learning model, SPRINT-Mal, is developed to predict malonylat...
Bacterial Proteins Lysine Malonates Mice Hominidae Humans Protein Processing, Post-Translational Saccharopolyspora Machine Learning Molecular Structure Animals
View on PubMed DOI

Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection.

Analytical biochemistry Apr 8, 2018
Lysine glutarylation is new type of protein acylation modification in both prokaryotes and eukaryotes. To better understand the molecular mechanism of glutarylation, it is important to identify glutarylated substrates and their corresponding glutaryl...
Protein Processing, Post-Translational Proteins Lysine Glutarates Sequence Analysis, Protein Acylation Software Support Vector Machine
View on PubMed DOI

New insights into the efficiency of thymol synergistic effect with p-cymene in inhibiting advanced glycation end products: A multi-way analysis based on spectroscopic and electrochemical methods in combination with molecular docking study.

Journal of pharmaceutical and biomedical analysis Dec 24, 2017
Protein glycation in the body is one of the main reasons of diabetes complications. The electrochemical studies on the inhibitory mechanism of glycation are rather scarce. Thus, it is important to investigate the role of electrochemistry in the glyca...
Binding Sites Electrochemical Techniques Spectrophotometry, Ultraviolet Kinetics Cymenes Molecular Docking Simulation Lysine Drug Synergism Monoterpenes Thymol Hypoglycemic Agents Protein Binding Serum Albumin, Bovine Arginine Protein Processing, Post-Translational Glycosylation Glycation End Products, Advanced Protein Conformation Structure-Activity Relationship
View on PubMed DOI
Popular Topics
Recent Journals