AIMC Topic: Arginine
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A high hydrophobic moment arginine-rich peptide screened by a machine learning algorithm enhanced ADC antitumor activity.
Journal of peptide science : an official publication of the European Peptide Society
Jul 1, 2024
Cell-penetrating peptides (CPPs) with better biomolecule delivery properties will expand their clinical applications. Using the MLCPP2.0 machine algorithm, we screened multiple candidate sequences with potential cellular uptake ability from the nucle...
DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites.
Computers in biology and medicine
Jan 28, 2024
MOTIVATION: Phosphorylation, a prevalent post-translational modification, plays a crucial role in regulating cellular activities. This process encompasses O-phosphorylation (e.g., phosphoserine) and N-phosphorylation (e.g., phospho-lysine (pK), phosp...
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...
Protein Binding
Glycosylation
Hypoglycemic Agents
Protein Processing, Post-Translational
Thymol
Monoterpenes
Serum Albumin, Bovine
Binding Sites
Arginine
Molecular Docking Simulation
Structure-Activity Relationship
Glycation End Products, Advanced
Protein Conformation
Spectrophotometry, Ultraviolet
Electrochemical Techniques
Lysine
Cymenes
Kinetics
Drug Synergism
Serum Concentrations of New Predictive Cardiovascular Disease Biomarkers in Mexican Women Exposed to Lead.
Archives of environmental contamination and toxicology
Dec 20, 2017
The purpose of this study was to evaluate lead exposure and its relationship with serum levels of predictive CVD biomarkers [asymmetric dimethylarginine (ADMA), adipocyte fatty acid-binding protein (FABP4), adiponectin, and chemerin] in women living ...
l-Carnosine supplementation attenuated fasting glucose, triglycerides, advanced glycation end products, and tumor necrosis factor-α levels in patients with type 2 diabetes: a double-blind placebo-controlled randomized clinical trial.
Nutrition research (New York, N.Y.)
Nov 17, 2017
Considering the pathologic importance of metabolic disturbances, advanced glycation end products (AGEs), and chronic inflammation in diabetes mellitus and ameliorating potentials of l-carnosine in hampering these detritions and because these effects ...
Pathogen biofilm formation on cantaloupe surface and its impact on the antibacterial effect of lauroyl arginate ethyl.
Food microbiology
Dec 29, 2016
Pathogen biofilm at fruit surface may pose a particular risk to food safety. In this study, the biofilms of Listeria monocytogenes V7 and Salmonella enterica serovar Typhimurium ATCC 13311 on cantaloupe fruit surface were visualized, and the resistan...
A methodological evaluation and predictive in silico investigation into the multi-functionality of arginine in directly compressed tablets.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Aug 5, 2015
The acceleration of solid dosage form product development can be facilitated by the inclusion of excipients that exhibit poly-/multi-functionality with reduction of the time invested in multiple excipient optimisations. Because active pharmaceutical ...
Expert Systems
Drug Compounding
Arginine
Microscopy, Electron, Scanning
Porosity
Tablets
Drug Liberation
Powders
Statistics as Topic
Mechanical Phenomena
Excipients
Compressive Strength
Surface Properties
Elasticity
Static Electricity
Tensile Strength
Algorithms
Computational Biology
Anti-Inflammatory Agents, Non-Steroidal
Indomethacin
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites.
Cell systems
May 21, 2025
The arginine dihydrolase pathway (arc operon) provides a metabolic niche by transforming arginine into metabolic byproducts. We investigate the role of the arc operon in probiotic Escherichia coli Nissle 1917 on human gut community assembly and healt...
DeepPRMS: advanced deep learning model to predict protein arginine methylation sites.
Briefings in functional genomics
Jul 19, 2024
Protein methylation is a form of post-translational modifications of protein, which is crucial for various cellular processes, including transcription activity and DNA repair. Correctly predicting protein methylation sites is fundamental for research...
DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism.
Briefings in bioinformatics
Mar 19, 2023
Protein arginine methylation is an important posttranslational modification (PTM) associated with protein functional diversity and pathological conditions including cancer. Identification of methylation binding sites facilitates a better understandin...
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