2020
DOI: 10.28991/esj-2020-01208
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Studying Properties of Prospective Biologically Active Extracts from Marine Hydrobionts

Abstract: Biologically active substances (BAS) extracted from marine hydrobionts are characterized by high diversity and efficiency. They are represented by carotenoids, phospholipids, saponins and other compounds possessing high antioxidant (AOA), antitumor, immunomodulatory, radioprotective, and hypolipidemic activities. Because of extremely high marine BAS activity, the BAS dose necessary for treatment and prevention of many diseases is very small.  The aim of present work was to assess biological properties of BAS c… Show more

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Cited by 18 publications
(16 citation statements)
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“…The vaporizer temperature and ion-source temperature were respectively adjusted to 280 and 230℃. Each chemical composition was identified by comparing the retention index obtained from a database (NIST05) with the retention indexes calculated on the basis of n-alkanes (C9-C46) (Rehman et al, 2021;Chzhu et al, 2020).…”
Section: Gc-ms Analysismentioning
confidence: 99%
“…The vaporizer temperature and ion-source temperature were respectively adjusted to 280 and 230℃. Each chemical composition was identified by comparing the retention index obtained from a database (NIST05) with the retention indexes calculated on the basis of n-alkanes (C9-C46) (Rehman et al, 2021;Chzhu et al, 2020).…”
Section: Gc-ms Analysismentioning
confidence: 99%
“…Each tree and each new split are made from random data selected by the bagging method (Breiman 2001). From the variable selection measures in tree development, we used the Gini index that indicates the frequency of the selection for a split for each variable and their overall discriminative value for the classification problem (Breiman et al 1984). First, we ranked several variables (pH, alkalinity, N emissions from point sources, P emissions from point sources, zinc, DOC, BOD 5 , HCO 3 , COD Cr , calcium, chloride, chromium, manganese, magnesium, inorganic nitrogen, organic nitrogen, sodium, NH 4 -N, nickel, silicon, sulphide, sulphate, iron, nitrate, nitrite and phosphate concentrations, hardness, conductivity, TP and TN concentrations, temperature, total dissolved solids, slope, velocity, transparency, morphological status, hydrological status, status of longitudinal and transversal continuity, hydromorphological status, land use (percentages of urban, agricultural, and forest areas), category (natural, artificial, and heavily modified) water level, discharge, orthophosphate concentration, and oxygen saturation) that we considered having a big impact on the biota than we choose the five variables that have the biggest importance according to the Gini index for each watercourse type.…”
Section: Random Forestmentioning
confidence: 99%
“…The biological activities were simulated using a combination of the 3D/4D QSAR BiS/MC and CoCon algorithms. [39][40][41][42][43] The binding properties of considered dyes were studied by performing series of AutoDock 4.2 (ref. [44][45][46] and AutoDock Vina 47 simulations.…”
Section: Damentioning
confidence: 99%