S
Snezana Agatonovic-Kustrin
Researcher at I.M. Sechenov First Moscow State Medical University
Publications - 125
Citations - 3642
Snezana Agatonovic-Kustrin is an academic researcher from I.M. Sechenov First Moscow State Medical University. The author has contributed to research in topics: Molecular descriptor & DPPH. The author has an hindex of 28, co-authored 118 publications receiving 2857 citations. Previous affiliations of Snezana Agatonovic-Kustrin include Universiti Teknologi MARA & Monash University Malaysia Campus.
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Reversed Phase HPTLC-DPPH Free Radical Assay as a Screening Method for Antioxidant Activity in Marine Crude Extracts
TL;DR: Marine organisms present in the ocean provide an enormous and mostly unexploited source of structurally novel and biologically active secondary metabolites, but there has been limited work in screening organisms containing this rich source ofStructurally unique natural products for antioxidant activity.
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In vitro assessment of pediococci- and lactobacilli-induced cholesterol-lowering effect using digitally enhanced high-performance thin-layer chromatography and confocal microscopy
Rohawi Nur Syakila,Rohawi Nur Syakila,Siong Meng Lim,Siong Meng Lim,Snezana Agatonovic-Kustrin,Snezana Agatonovic-Kustrin,Fei Tieng Lim,Kalavathy Ramasamy,Kalavathy Ramasamy +8 more
TL;DR: A new, more sensitive and cost-effective high-performance thin-layer chromatography method combined with digital image evaluation of derivatised chromatographic plates was developed and validated to quantify cholesterol in LAB culture media and was compared with that of the o-phthalaldehyde method.
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Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN
TL;DR: Although two phenolic acids may have the same relative polarity, their different functional groups may drastically change the nature of their interactions with free radicals, and their antioxidant activity.
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The Power of HPTLC-ATR-FTIR Hyphenation in Bioactivity Analysis of Plant Extracts
TL;DR: Given the simplicity in sample preparation and application, thin-layer chromatography (TLC) and high-performance thin layer chromatography(HPTLC) as its most enhanced form are commonly used to separate and identify complex mixtures in solution as mentioned in this paper.
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Artificial Neural Network (ANN) Based Modelling for D1 Like and D2 Like Dopamine Receptor Affinity and Selectivity
TL;DR: In this article, the authors identify the molecular characteristics important to the selective binding of dopamine D1-like and D2-like receptors using quantitative structure activity relationships (QSARs).