| 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 | 296 | 2007 |
| 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 | 129 | 2014 |
| 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 | 115 | 2010 |
| 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 | 103 | 1998 |
| 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 | 89 | 2001 |
| A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids N Abramenko, L Kustov, L Metelytsia, V Kovalishyn, I Tetko, ... Journal of hazardous materials 384, 121429, 2020 | 84 | 2020 |
| 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 | 62 | 2018 |
| 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 | 54 | 2016 |
| 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 | 52 | 2018 |
| 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 | 52 | 2016 |
| 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 | 45 | 2007 |
| 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 | 39 | 2016 |
| 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 | 38 | 2011 |
| 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 | 29 | 2006 |
| Design of (quinolin-4-ylthio) carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing L Metelytsia, D Hodyna, I Dobrodub, I Semenyuta, M Zavhorodnii, ... Computational Biology and Chemistry 85, 107224, 2020 | 28 | 2020 |
| Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus: In silico and in vitro studies D Hodyna, V Kovalishyn, I Semenyuta, V Blagodatnyi, S Rogalsky, ... Computational Biology and Chemistry 73, 127-138, 2018 | 27 | 2018 |
| 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 | 23 | 2012 |
| 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 | 23 | 2007 |
| 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 | 17 | 2005 |
| 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 | 17 | 2005 |
Larysa Metelytsia (Метелиця Лариса...V.P. Kukhar Institute of Bioorganic Chemistry and Petroсhemistry, NAS of Ukraine, PhD, Head of dep.在 bpci.kiev.ua 的电子邮件经过验证
