AIMC Topic: Neuroprotective Agents
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Multi-dimensional deep learning drives efficient discovery of novel neuroprotective peptides from walnut protein isolates.
Food & function
Jul 31, 2023
Neurodegenerative diseases, such as Alzheimer's and Parkinson's, are multi-factor induced neurological disorders that require management from multiple pathologies. The peptides from natural proteins with diverse physiological activity can be candidat...
Magnetic resonance imaging image analysis of the therapeutic effect and neuroprotective effect of deep brain stimulation in Parkinson's disease based on a deep learning algorithm.
International journal for numerical methods in biomedical engineering
Aug 30, 2022
In order to study the therapeutic neuroprotective effect of deep brain stimulation (DBS) in Parkinson's disease (PD), based on the deep learning algorithm, this study combines with magnetic resonance imaging (MRI) image analysis technology to study t...
Aquoeus Extracts of Daucus Carota (Linn) Protected the Postnatal Developing Cerebellum of Wistar Rats Against Arsenic-Induced Oxidative Stress.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 31, 2021
The neuroprotective effects of the aqueous extract of Daucus carota (Dc) tuber against arsenic-induced oxidative damage on the developing cerebellum of Wistar rats were studied. Twenty-five pregnant rats (110-200g) were divided into five groups (n=5)...
Recent advances in drug repurposing using machine learning.
Current opinion in chemical biology
Jul 16, 2021
Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlig...
Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning.
Molecules (Basel, Switzerland)
Apr 25, 2021
Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and ophthalmic disease models. In vitro and in vivo studies showed that the metabolites of these compounds are capable of cleaving disulfide bonds implicated...
Machine learning identifies candidates for drug repurposing in Alzheimer's disease.
Nature communications
Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Gene Expression Regulation
Cerebral Cortex
Primary Cell Culture
Prescription Drugs
Drug Repositioning
Neurons
Alzheimer Disease
High-Throughput Screening Assays
Nootropic Agents
Drugs, Investigational
Polypharmacology
Humans
Gene Expression Profiling
Machine Learning
Severity of Illness Index
Pharmacogenetics
Neuroprotective Agents
Nerve Tissue Proteins
Latest trends in structure based drug design with protein targets.
Advances in protein chemistry and structural biology
Dec 18, 2019
Structure based drug designing is an important endeavor in the field of structural bioinformatics. Previously the entire process was dependent on the wet-lab experiments to build libraries of ligand molecules. And the molecules used to be tested to d...
Drugs, Investigational
Molecular Dynamics Simulation
Ligands
Binding Sites
Computational Biology
Humans
Thermodynamics
Neuroprotective Agents
Machine Learning
Proteins
Anti-Bacterial Agents
Structure-Activity Relationship
Antineoplastic Agents
Anti-HIV Agents
Molecular Docking Simulation
Protein Binding
Drug Design
Design of Natural-Product-Inspired Multitarget Ligands by Machine Learning.
ChemMedChem
May 16, 2019
A virtual screening protocol based on machine learning models was used to identify mimetics of the natural product (-)-galantamine. This fully automated approach identified eight compounds with bioactivities on at least one of the macromolecular targ...
Effects of combining modern recovery techniques with neurotrophic medication and standard treatment in stroke patients.
The Science of the total environment
May 7, 2019
Stroke is the main cause of disability after age 65, leaving survivors with sequels that require care and recovery treatment lasting years. It is estimated that by the year 2030 this pathology will be leading cause of mortality. To determine the effi...
Seasonal Variation in Essential Oils Composition and the Biological and Pharmaceutical Protective Effects of Leaves Grown in Tunisia.
BioMed research international
Dec 9, 2018
This research assessed the seasonal variation of the chemical composition and antibacterial and anticholinesterase activities of essential oils extracted from leaves. The leaves organic fractions were also investigated for their biological activitie...
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