Search results for "in silico prediction"

showing 2 items of 2 documents

Predicting Skin Permeability by Means of Computational Approaches: Reliability and Caveats in Pharmaceutical Studies

2019

The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters. Therefore, it is not surprising that permeability of many different compounds has been measured through several in vitro and in vivo techniques. Moreover, many different in silico approaches have been used to identify the correlation between the structure of the permeants and their permeability, to reproduce the skin behavior, and to predict the ability of specific chemicals to permeate this barrier. A significant number of issues, like interlaboratory variability, experim…

Molecular dynamicComputer scienceGeneral Chemical EngineeringSkin AbsorptionSkin permeabilityLibrary and Information SciencesPrinciple component regressionPartial least square01 natural sciencesModels BiologicalQuantitative structure-property relationship0103 physical sciencesDrug DiscoveryAnimalsHumansComputer SimulationSite of originSkinIn silico prediction010304 chemical physicsChemical toxicityGeneral ChemistrySettore CHIM/08 - Chimica Farmaceutica0104 chemical sciencesComputer Science ApplicationsMultilinear regression010404 medicinal & biomolecular chemistryPharmaceutical PreparationsDrug deliverySkin permeabilityBiochemical engineeringAlgorithms
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Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon

2020

The present study aimed to identify mycotoxins in edible tissues of Atlantic salmon (Salmo salar) using liquid chromatography coupled to hybrid quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS). After using a non-targeted screening approach and a home-made spectral library, 233 mycotoxins were analyzed. Moreover, the occurrence of mycotoxins in fish filets was evaluated, and their potential toxicity was predicted by in silico methods. According to the obtained results, forty mycotoxins were identified in analyzed salmon samples, the predominant mycotoxins being enniatins (also rugulosin and 17 ophiobolins), commonly found in cereals and their by-products. Thus, mycotoxin carry-over …

Spectrometry Mass Electrospray IonizationAtlantic salmonin silico predictionIn silicoSalmo salarPharmaceutical ScienceFood ContaminationAquacultureRisk Assessment01 natural sciencesArticleOphiobolinschemistry.chemical_compound0404 agricultural biotechnologymycotoxinsDrug DiscoveryAnimalsliquid chromatographyComputer SimulationFood scienceSalmoMycotoxinlcsh:QH301-705.5Pharmacology Toxicology and Pharmaceutics (miscellaneous)Chromatography High Pressure Liquidbiology010401 analytical chemistry04 agricultural and veterinary sciencestime of flight mass spectrometrybiology.organism_classificationAnimal Feed040401 food scienceToxicokinetics0104 chemical sciencesSeafoodlcsh:Biology (General)chemistryMycotoxin identificationToxicityFish <Actinopterygii>Potential toxicityMarine Drugs
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