about
A quantum chemical based toxicity study of estimated reduction potential and hydrophobicity in series of nitroaromatic compounds.Chlorophenol sorption on multi-walled carbon nanotubes: DFT modeling and structure-property relationship analysis.Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models.A DFT-based QSAR study on inhibition of human dihydrofolate reductase.How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach.Evaluating the toxicity of TiO2-based nanoparticles to Chinese hamster ovary cells and Escherichia coli: a complementary experimental and computational approach.Modeling of Interactions between the Zebrafish Hatching Enzyme ZHE1 and A Series of Metal Oxide Nanoparticles: Nano-QSAR and Causal Analysis of Inactivation Mechanisms.Binding of Alkali Metal Ions with 1,3,5-Tri(phenyl)benzene and 1,3,5-Tri(naphthyl)benzene: The Effect of Phenyl and Naphthyl Ring Substitution on Cation-π Interactions Revealed by DFT Study.Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure-activity relationship approaches.Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach.Multiple e-Pharmacophore modeling to identify a single molecule that could target both streptomycin and paromomycin binding sites for 30S ribosomal subunit inhibition.Towards the Development of Global Nano-Quantitative Structure-Property Relationship Models: Zeta Potentials of Metal Oxide Nanoparticles.From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles.Causal inference methods to assist in mechanistic interpretation of classification nano-SAR modelsPredicting Physical Properties of Nanofluids by Computational ModelingHow the “Liquid Drop” Approach Could Be Efficiently Applied for Quantitative Structure–Property Relationship Modeling of NanofluidsN-arylnaphthylamines as inhibitors of human immunodeficiency virus integrase - lens epithelium-derived growth factor interactions: theoretical studies
P50
Q38943435-4308605D-C06B-46E9-989F-85409788AA61Q39000896-BF620D81-230B-416C-97F3-270003EFAAD6Q39923801-1A46E1C2-8DF4-4D74-8BC4-C0F870E0AB64Q40573269-0EB76DF3-2C64-45F6-9C18-A911E297FCE3Q45943650-AE15F883-9F3B-423E-BD4F-013019B2B135Q46359093-8FFCE075-597B-4B67-BD85-949BB61B1F91Q47268851-7134FCA4-7632-4E21-A2A3-52878F2FCE2DQ48130611-5B064D41-86F2-438F-ADBC-0F250C1B56D5Q50086980-C030D867-39D2-4A0F-8541-16A987CDE351Q51307033-5EF09DEE-8D11-4BA0-8AB0-EEFDC98EDC83Q52326894-56030853-7BB3-4155-95E7-9D3CA6954201Q52584642-FD0C155F-34EF-481E-8D33-2422B6E63429Q54279902-52A8E9FA-737C-47CC-B208-BE0E17B7C616Q56999520-531BB25F-3D45-4C93-8B32-A3F224C76AF2Q57008818-DBB06BBC-6EB0-4619-A5E9-7DC24AED8938Q57008888-4F7D8DFF-63C1-4C61-B54F-66DE1BFDE306Q92834245-F92100B6-74F9-4A40-86CD-96508A32251A
P50
description
hulumtuese
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Natalia Sizochenko
@ast
Natalia Sizochenko
@en
Natalia Sizochenko
@es
Natalia Sizochenko
@nl
Natalia Sizochenko
@sl
Наталия Сизоченко
@ru
type
label
Natalia Sizochenko
@ast
Natalia Sizochenko
@en
Natalia Sizochenko
@es
Natalia Sizochenko
@nl
Natalia Sizochenko
@sl
Наталия Сизоченко
@ru
altLabel
Natalia Novoselska
@en
Наталия Новосельская
@ru
prefLabel
Natalia Sizochenko
@ast
Natalia Sizochenko
@en
Natalia Sizochenko
@es
Natalia Sizochenko
@nl
Natalia Sizochenko
@sl
Наталия Сизоченко
@ru
P1053
C-5293-2016
P106
P1153
56422368000
56585998000
P21
P31
P3829
P3835
natalia-sizochenko
P496
0000-0002-7039-7969