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Miroslava Nedyalkova
Miroslava Nedyalkova
UniFr, University of Fribourg
Verified email at unifr.ch
Title
Cited by
Cited by
Year
Biomedical applications of iron oxide nanoparticles: current insights progress and perspectives
MG Montiel Schneider, MJ Martín, J Otarola, E Vakarelska, V Simeonov, ...
Pharmaceutics 14 (1), 204, 2022
1152022
Iron oxide nanoparticles–in vivo/in vitro biomedical applications and in silico studies
M Nedyalkova, B Donkova, J Romanova, G Tzvetkov, S Madurga, ...
Advances in colloid and interface science 249, 192-212, 2017
942017
Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions
I Moreno-Indias, L Lahti, M Nedyalkova, I Elbere, G Roshchupkin, ...
Frontiers in microbiology 12, 635781, 2021
562021
Calculating the partition coefficients of organic solvents in octanol/water and octanol/air
MA Nedyalkova, S Madurga, M Tobiszewski, V Simeonov
Journal of chemical information and modeling 59 (5), 2257-2263, 2019
422019
Combinatorial k-means clustering as a machine learning tool applied to diabetes mellitus type 2
M Nedyalkova, S Madurga, V Simeonov
International journal of environmental research and public health 18 (4), 1919, 2021
302021
Modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models
M Wieczerzak, B Kudłak, G Yotova, M Nedyalkova, S Tsakovski, ...
Science of the Total Environment 571, 259-268, 2016
292016
Molecular dynamics simulation of the spherical electrical double layer of a soft nanoparticle: Effect of the surface charge and counterion valence
M Nedyalkova, S Madurga, S Pisov, I Pastor, E Vilaseca, F Mas
The Journal of Chemical Physics 137 (17), 2012
282012
Solvothermal synthesis combined with design of experiments—optimization approach for magnetite nanocrystal clusters
J Medinger, M Nedyalkova, M Lattuada
Nanomaterials 11 (2), 360, 2021
192021
Boron oxide glasses and nanocomposites: synthetic, structural and statistical approach
H Hristov, M Nedyalkova, S Madurga, V Simeonov
Journal of materials science & technology 33 (6), 535-540, 2017
162017
Pre-selection and assessment of green organic solvents by clustering chemometric tools
M Tobiszewski, M Nedyalkova, S Madurga, F Pena-Pereira, J Namieśnik, ...
Ecotoxicology and environmental safety 147, 292-298, 2018
142018
Inhibition ability of natural compounds on receptor-binding domain of SARS-CoV2: an in silico approach
M Nedyalkova, M Vasighi, S Sappati, A Kumar, S Madurga, V Simeonov
Pharmaceuticals 14 (12), 1328, 2021
122021
Ionization and conformational equilibria of citric acid: delocalized proton binding in solution
S Madurga, M Nedyalkova, F Mas, JL Garcés
The Journal of Physical Chemistry A 121 (31), 5894-5906, 2017
122017
Modeling and MANOVA studies on toxicity and endocrine potential of packaging materials exposed to different extraction schemes
N Szczepańska, B Kudłak, S Tsakovski, G Yotova, M Nedyalkova, ...
Environmental research 165, 294-305, 2018
102018
Antimicrobial Activity of Rhenium Di- and Tricarbonyl Diimine Complexes: Insights on Membrane-Bound S. aureus Protein Binding
K Schindler, Y Cortat, M Nedyalkova, A Crochet, M Lattuada, A Pavic, ...
Pharmaceuticals 15 (9), 1107, 2022
92022
A multilevel approach for screening natural compounds as an antiviral agent for COVID-19
M Vasighi, J Romanova, M Nedyalkova
Computational biology and chemistry 98, 107694, 2022
92022
Computer-aided drug design and synthesis of rhenium clotrimazole antimicrobial agents
Y Cortat, M Nedyalkova, K Schindler, P Kadakia, G Demirci, ...
Antibiotics 12 (3), 619, 2023
82023
Sequence-based prediction of plant allergenic proteins: machine learning classification approach
M Nedyalkova, M Vasighi, A Azmoon, L Naneva, V Simeonov
ACS omega 8 (4), 3698-3704, 2023
82023
Chemometrics expertise in the links between ecotoxicity and physicochemical features of silver nanoparticles: environmental aspects
MA Nedyalkova, BV Donkova, VD Simeonov
Journal of AOAC International 100 (2), 359-364, 2017
82017
Persistent organic pollutants (POPs)-QSPR classification models by means of machine learning strategies
E Vakarelska, M Nedyalkova, M Vasighi, V Simeonov
Chemosphere 287, 132189, 2022
72022
Unveiling the effect of low pH on the SARS-CoV-2 main protease by molecular dynamics simulations
HL Barazorda-Ccahuana, M Nedyalkova, F Mas, S Madurga
Polymers 13 (21), 3823, 2021
72021
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Articles 1–20