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187 results for “Cannabinoids”
S45 | SYNTHCANNAB | Synthetic Cannabinoids from CompTox
<p>This is the collection associated with list S45 SYNTHCANNAB on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S45</p> <p>SYNTHCANNAB</p> <p><strong>Synthetic Cannabinoids </strong></p> <p>UPDATED 17/06/2019</p> <p>Now a list of synthetic cannabinoids aassembled from public resources, from CompTox. </p> <p>The psychoactive compounds are now in a new list with these substances, due to changes CompTox side, see DOI <a href="https://doi.org/10.5281/zenodo.2656740">10.5281/zenodo.2656740</a></p> <p> </p> <p> </p>
S58 | PSYCHOCANNAB | NPS and Synthetic Cannabinoids from CompTox
<p>This is the dataset associated with the PSYCHOCANNAB dataset on the NORMAN Suspect List Exchange:</p> <p>https://www.norman-network.com/nds/SLE/</p> <p>A list of synthetic cannabinoids and psychoactive compounds assembled from public resources, from CompTox Chemicals Dashboard. </p> <p> </p>
Co-Dispersion Delivery Systems with Solubilizing Carriers Improving the Solubility and Permeability of Cannabinoids (Cannabidiol, Cannabidiolic Acid, and Cannabichromene) from Cannabis sativa (Henola Variety) Inflorescences
<p>Article, Dataset for article</p> <p> </p> <h2>Abstract</h2> <div>Cannabinoids: cannabidiol (CBD), cannabidiolic acid (CBDA), and cannabichromene (CBC) are lipophilic compounds with limited water solubility, resulting in challenges related to their bioavailability and therapeutic efficacy upon oral administration. To overcome these limitations, we developed co-dispersion cannabinoid delivery systems with the biopolymer polyvinyl caprolactam-polyvinyl acetate-polyethylene glycol (Soluplus) and magnesium aluminometasilicate (Neusilin US2) to improve solubility and permeability. Recognizing the potential therapeutic benefits arising from the entourage effect, we decided to work with an extract instead of isolated cannabinoids. <span>Cannabis sativa</span> inflorescences (Henola variety) with a confirming neuroprotective activity were subjected to dynamic supercritical CO<sub>2</sub> (scCO<sub>2</sub>) extraction and next they were combined with carriers (1:1 mass ratio) to prepare the co-dispersion cannabinoid delivery systems (HiE). In vitro dissolution studies were conducted to evaluate the solubility of CBD, CBDA, and CBC in various media (pH 1.2, 6.8, fasted, and fed state simulated intestinal fluid). The HiE-Soluplus delivery systems consistently demonstrated the highest dissolution rate of cannabinoids. Additionally, HiE-Soluplus exhibited the highest permeability coefficients for cannabinoids in gastrointestinal tract conditions than it was during the permeability studies using model PAMPA GIT. All three cannabinoids exhibited promising blood-brain barrier (BBB) permeability (P<sub>app</sub> higher than 4.0 × 10<sup>−6</sup> cm/s), suggesting their potential to effectively cross into the central nervous system. The improved solubility and permeability of cannabinoids from the HiE-Soluplus delivery system hold promise for enhancement in their bioavailability.</div> <div> <div> <div>Keywords: </div> <a href="https://www.mdpi.com/search?q=cannabidiol">cannabidiol</a>; <a href="https://www.mdpi.com/search?q=cannabidiolic+acid">cannabidiolic acid</a>; <a href="https://www.mdpi.com/search?q=cannabichromene">cannabichromene</a>; <a href="https://www.mdpi.com/search?q=cannabis">cannabis</a>; <a href="https://www.mdpi.com/search?q=solubility">solubility</a>; <a href="https://www.mdpi.com/search?q=permeability">permeability</a></div> </div>
Research data supporting: "A millisecond coarse-grained simulation approach to decipher allosteric cannabinoid binding at the glycine receptor α1"
<p>This repository contains the set of coarse-grained (CG) m<span>olecular snapshots representative </span><span>of the most populated binding modes for glycine receptor (GlyR) in complex with the ligands, along with atomistic backmapped representations. In addition, it contains also CG Martini 3 parameters, charmm36-FF backmapping library file and GROMACS files (itp and gro files) for both ligands.</span></p>
Julio-Yanes/Yanes_Cannabis_MetaAnalysis: Effects of Cannabinoid Administration for Pain: A Meta-Analysis and Meta-Regression
<p>% The following codes are associated with...</p> <p>% Effects of Cannabinoid Administration for Pain: A Meta-Analysis and Meta-Regression... Yanes, J.A., McKinnell Z.E., Reid, M.A., Busler, J.N.,... ... Michel, J.S., Pangelinan, M.M., Sutherland, M.T., Younger, J.W... ... Gonzalez, R., and Robinson, J.L. (in press). Experimental % Clinical Psychopharmacology.</p> <p>% The following codes load data associated with the above mentioned manuscript, run analyses, and prepare tables/figures.</p> <p>% Catgorical data within the dataset were coded as follows... ... Design (0 = crossover, 1 = parallel). ... Treatment (0 = placebo, 1 = THC, 2 = THC/CBD extract [Sativex],... ... 3 = THC/CBD, 4 = Nabilone, 5 = Dronabinol, 6 = CT3, 7 = CBD). ... Treatment Collapsed (0 = placebo, 1 = cannabis [whole-plant,... ... extract], 2 = synthetic cannabinoid). ... Treatment Binary (0 = placebo, 1 = cannabinoid). ... Diagonsis (1 = abdominal pain, 2 = arthritis, 3 = cancer,... ... 4 = chronic pain, 5 = diabetes, 6 = fibromyalgia, 7 = HIV,... ... 8 = headache, 9 = "various", 10 = multiple sclerosis,... ... 11 = neuropathic pain, 12 = post-operative pain).</p>
Cannabinoid CB2 Receptor Ligands Datasets
<p>Datasets used in the work titled: "<em>A Multiple Classifier System Identifies Novel Cannabinoid CB2 Receptor Ligands</em>"</p> <ul> <li><strong>CB2 Dataset</strong> contains the dataset used by <a href="https://github.com/drordas/D2-MCS">D2-MCS</a> platform to generate Multi-Classifier Systems.</li> <li><strong>Validation Dataset</strong> is a blinded dataset composed by more than 1.8M compounds. It is used to discover potential candidate compounds.</li> </ul>
MD simulation trajectory of cannabidiol in the cannabinoid type 1 receptor
<p>MD simulation trajectory of cannabidiol in the presence of an orthosteric THC and Rimonabant in the CB1R active and inactive conformations respectively. The protein–ligand complexes were inserted in a POPC lipid bilayer and solvated in a TIP3 water box with Na+ and Cl- ions. Simulations were run with NAMD 2.9 software using periodic boundary conditions and Particle Mesh Ewald (PME) for long-range electrostatics. Total production time for the inactive and active receptor conformations were 25 ns and 50 ns respectively.<br> </p>
Yields, Cannabinoids Quantification, and Predictive Programming Codes Using Machine Learning for Non-Psychoactive Cannabis Flowers and Extracts (Cannabis sativa L.) Cultivated in Ecuador.
<p>This publication presents data from various extraction methods, including maceration, Soxhlet, and supercritical fluids, performed on different cannabis flower varieties (Cannabis sativa L.) under varying operating conditions. We quantified the amounts of CBD, THC, CBG, and CBN in the extracts produced by each method using High-Performance Liquid Chromatography (HPLC). Using this data, we developed a machine learning algorithm in RStudio to make predictions and determine the best conditions and yields for each extraction method. The analysis focuses on different varieties of non-psychoactive cannabis cultivated in Ecuador at altitudes over 2,450 m.a.s.l.</p>
Interactions Between Cannabinoids and Cytochrome P450-Metabolized Drugs
ClinicalTrials.gov study NCT04201197. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of a Cannabinoid Agonist on Colonic Sensory Functions in Patients With Irritable Bowel Syndrome
ClinicalTrials.gov study NCT01786109. IPD Sharing: Not stated. Countries: 1. Publications: 2.
ARISTOCRAT: Blinded Trial of Temozolomide +/- Cannabinoids
ClinicalTrials.gov study NCT05629702. IPD Sharing: YES. Countries: 1. Publications: 1.
Anxiety, Inflammation, Stress, and Cannabinoids
ClinicalTrials.gov study NCT03491384. IPD Sharing: NO. Countries: 1. Publications: 3.
Cannabinoid Control of Fear Extinction Neural Circuits in Post-traumatic Stress Disorder
ClinicalTrials.gov study NCT02069366. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effect of Cannabinoid Agonist on Gastrointestinal and Colonic Motor Functions in Patients With Irritable Bowel Syndrome (IBS)
ClinicalTrials.gov study NCT01253408. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Cannabinoids for Pain Control During Medical Abortion
ClinicalTrials.gov study NCT03604341. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effects of Cannabinoid on Patients With Non-GERD Related Non Cardiac Chest Pain
ClinicalTrials.gov study NCT01598207. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: In vitro signaling properties of cannabinoid and orexin receptors: how orexin receptors influence cannabinoid receptor-mediated signaling
Open the record for dataset details and reuse information.
Data from: Characterization of binding kinetics and intracellular signaling of new psychoactive substances targeting cannabinoid receptor using transition-based reweighting method
Open the record for dataset details and reuse information.
Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypes
<p>The widespread legalization of <i>Cannabis</i> has opened the industry to using contemporary analytical techniques for chemotype analysis. Chemotypic data has been collected on a large variety of oil profiles inherent to the cultivars that are commercially available. The unknown gene regulation and pharmacokinetics of dozens of cannabinoids offer opportunities of high interest in pharmacology research. Retailers in many medical and recreational jurisdictions are typically required to report chemical concentrations of at least some cannabinoids. Commercial cannabis laboratories have collected large chemotype datasets of diverse <i>Cannabis</i> cultivars. In this work a data set of 17,600 cultivars tested by Steep Hill Inc., is examined using machine learning techniques to interpolate missing chemotype observations and cluster cultivars into groups based on chemotype similarity. The results indicate cultivars cluster based on their chemotypes, and that some imputation methods work better than others at grouping these cultivars based on chemotypic identity. Due to the missing data and to the low signal to noise ratio for some less common cannabinoids, their behavior could not be accurately predicted. These findings have implications for characterizing complex interactions in cannabinoid biosynthesis and improving phenotypical classification of <i>Cannabis</i> cultivars.</p>
Fig. 4 in Cannabinoid-like meroterpenoids from Peperomia incana
Fig. 4. Disk diffusion assay of compounds 1, 3, 5, 8 and 9 against multidrug resistant S. aureus and E. coli. DMSO was used as a negative control.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.