Vasyl Kovalishyn \ Ковалішин Василь Володимирович
Vasyl Kovalishyn \ Ковалішин Василь Володимирович
V.P. Kukhar Institute of Bioorganic Chemistry and Petroсhemistry, NAS of Ukraine, PhD, Senior
Verified email at bpci.kiev.ua
Title
Cited by
Cited by
Year
Synthesis and structure–antituberculosis activity relationship of 1H-indole-2, 3-dione derivatives
N Karalı, A Gürsoy, F Kandemirli, N Shvets, FB Kaynak, S Özbey, ...
Bioorganic & medicinal chemistry 15 (17), 5888-5904, 2007
2182007
Neural network studies. 3. Variable selection in the cascade-correlation learning architecture
VV Kovalishyn, IV Tetko, AI Luik, VV Kholodovych, AEP Villa, ...
Journal of Chemical Information and Computer Sciences 38 (4), 651-659, 1998
941998
Volume learning algorithm artificial neural networks for 3D QSAR studies
IV Tetko, VV Kovalishyn, DJ Livingstone
Journal of Medicinal Chemistry 44 (15), 2411-2420, 2001
832001
Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity
F Martins, S Santos, C Ventura, R Elvas-Leitão, L Santos, S Vitorino, ...
European journal of medicinal chemistry 81, 119-138, 2014
802014
Applicability domain for in silico models to achieve accuracy of experimental measurements
I Sushko, S Novotarskyi, R Körner, AK Pandey, VV Kovalishyn, ...
Journal of Chemometrics 24 (3‐4), 202-208, 2010
712010
Synthesis and structure–antibacterial activity relationship investigation of isomeric 2, 3, 5-substituted perhydropyrrolo [3, 4-d] isoxazole-4, 6-diones
H Agirbas, S Guner, F Budak, S Keceli, F Kandemirli, N Shvets, ...
Bioorganic & medicinal chemistry 15 (6), 2322-2333, 2007
372007
QSAR modeling of antitubercular activity of diverse organic compounds
V Kovalishyn, J Aires-de-Sousa, C Ventura, RE Leitão, F Martins
Chemometrics and Intelligent Laboratory Systems 107 (1), 69-74, 2011
352011
1, 3-Oxazole derivatives as potential anticancer agents: computer modeling and experimental study
I Semenyuta, V Kovalishyn, V Tanchuk, S Pilyo, V Zyabrev, V Blagodatnyy, ...
Computational biology and chemistry 65, 8-15, 2016
272016
Antibacterial Activity of Imidazolium‐Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies
D Hodyna, V Kovalishyn, S Rogalsky, V Blagodatnyi, K Petko, ...
Chemical Biology & Drug Design 88 (3), 422-433, 2016
242016
The structure-antituberculosis activity relationships study in a series of 5-(4-aminophenyl)-4-substituted-2, 4-dihydro-3h-1, 2, 4-triazole-3-thione derivatives. A combined …
F Kandemirli, N Shvets, S Unsalan, I Kucukguzel, S Rollas, V Kovalishyn, ...
Medicinal Chemistry 2 (4), 415-422, 2006
242006
Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents
MV Kachaeva, DM Hodyna, IV Semenyuta, SG Pilyo, VM Prokopenko, ...
Computational biology and chemistry 74, 294-303, 2018
222018
Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform
V Kovalishyn, N Abramenko, I Kopernyk, L Charochkina, L Metelytsia, ...
Food and Chemical Toxicology 112, 507-517, 2018
192018
Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making
G Chen, WJGM Peijnenburg, V Kovalishyn, MG Vijver
RSC advances 6 (57), 52227-52235, 2016
192016
Predictive QSAR modeling of phosphodiesterase 4 inhibitors
V Kovalishyn, V Tanchuk, L Charochkina, I Semenuta, V Prokopenko
Journal of Molecular Graphics and Modelling 32, 32-38, 2012
192012
Investigation of the physical and rheological properties of SBR-1712 rubber compounds by neural network approaches
E Demirhan, F Kandemirli, M Kandemirli, V Kovalishyn
Materials & design 28 (5), 1737-1741, 2007
172007
The structure-inhibitory activity relationships study in a series of cyclooxygenase-2 inhibitors: a combined electronic-topological and neural networks approach
A Dimoglo, V Kovalishyn, N Shvets, V Ahsen
Mini reviews in medicinal chemistry 5 (10), 879-892, 2005
152005
Human acetylcholinesterase inhibitors: electronic-topological and neural network approaches to the structure-activity relationships study
F Kandemirli, M Saraçoglu, V Kovalishyn
Mini Reviews in Medicinal Chemistry 5 (5), 479-487, 2005
142005
Application of artificial neural networks for the prediction of sulfur polycyclic aromatic compounds retention indices
H Can, A Dimoglo, V Kovalishyn
Journal of Molecular Structure: THEOCHEM 723 (1-3), 183-188, 2005
132005
Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens
VV Kovalishyn, V Kholodovych, IV Tetko, WJ Welsh
Journal of Molecular Graphics and Modelling 26 (2), 591-594, 2007
122007
Design and synthesis of new potent inhibitors of farnesyl pyrophosphate synthase
V Prokopenko, V Kovalishyn, M Shevchuk, I Kopernyk, L Metelytsia, ...
Current drug discovery technologies 11 (2), 133-144, 2014
112014
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