List of works - Vasyl Kovalishyn

1,3-Oxazole derivatives as potential anticancer agents: Computer modeling and experimental study.

scientific article published on 21 September 2016

A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids

scientific article published on 06 November 2019

Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies.

scientific article

Application of neural networks using the volume learning algorithm for the study of structure-activity relationship in chemical compounds

scientific article

Combined electronic-topological and neural networks study of some hydroxysemicarbazides as potential antitumor agents.

scientific article published on 28 November 2005

Design and synthesis of new potent inhibitors of farnesyl pyrophosphate synthase.

scientific article published in June 2014

Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing

scientific article published on 24 January 2020

Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity

scientific article

Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents

scientific article published on 10 April 2018

Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making

article

ETM-ANN approach application for thiobenzamide and quinolizidine derivatives

scientific article

Electron-Topological Method of the non-nucleoside HIV-1 RT inhibitors study: structure-activity relationships

scientific article published in September 2007

Human acetylcholinesterase inhibitors: electronic-topological and neural network approaches to the structure-activity relationships study

scientific article

Hybrid design of isonicotinic acid hydrazide derivatives: machine learning studies, synthesis and biological evaluation of their anti-tuberculosis activity

scientific article published on 11 April 2019

Imidazolium Ionic Liquids as Potential Anti-Candida Inhibitors: QSAR Modeling and Experimental Studies

scientific article published on 10 May 2016

Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus: In silico and in vitro studies.

scientific article published on 8 February 2018

In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumannii

scientific article published on 13 March 2020

Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform

scientific article published on 09 August 2017

Prediction of thrombin and factor xa inhibitory activity with associative neural networks

scientific article published in January 2014

Predictive QSAR modeling of phosphodiesterase 4 inhibitors.

scientific article published on 14 October 2011

QSAR modeling of antitubercular activity of diverse organic compounds

article

QSAR studies and antimicrobial potential of 1,3-thiazolylphosphonium salts

scientific article published in July 2016

QSAR studies, synthesis and antibacterial assessment of new inhibitors against multidrug-resistant Mycobacterium tuberculosis.

scientific article published on 8 November 2016

QSAR study of some 1,3-oxazolylphosphonium derivatives as new potent anti-Candida agents and their toxicity evaluation

scientific article published on 18 April 2018

Rational design of isonicotinic acid hydrazide derivatives with anti-tubercular activity: Machine learning, molecular docking, synthesis and biological testing.

scientific article published on 14 March 2018

Synthesis and Biological Evaluation of Hybrid 1,5- and 2,5-Disubstituted Indoles as Potentially New Antitubercular Agents.

scientific article

Synthesis and structure–antibacterial activity relationship investigation of isomeric 2,3,5-substituted perhydropyrrolo[3,4-d]isoxazole-4,6-diones

scientific article published on 19 January 2007

The Quantum Chemical and QSAR Studies on Acinetobacter Baumannii Oxphos Inhibitors

scientific article published on 2 October 2017

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 electronic-topological and neural networks approach

scientific article published in July 2006

The structure-inhibitory activity relationships study in a series of cyclooxygenase-2 inhibitors: a combined electronic-topological and neural networks approach.

scientific article

Volume learning algorithm artificial neural networks for 3D QSAR studies

scientific article published in July 2001

Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens

scientific article published on 19 March 2007

List of works by Vasyl Kovalishyn

1,3-Oxazole derivatives as potential anticancer agents: Computer modeling and experimental study.

A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids

Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies.

Application of neural networks using the volume learning algorithm for the study of structure-activity relationship in chemical compounds

Combined electronic-topological and neural networks study of some hydroxysemicarbazides as potential antitumor agents.

Design and synthesis of new potent inhibitors of farnesyl pyrophosphate synthase.

Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing

Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity

Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents

Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making

ETM-ANN approach application for thiobenzamide and quinolizidine derivatives

Electron-Topological Method of the non-nucleoside HIV-1 RT inhibitors study: structure-activity relationships

Human acetylcholinesterase inhibitors: electronic-topological and neural network approaches to the structure-activity relationships study

Hybrid design of isonicotinic acid hydrazide derivatives: machine learning studies, synthesis and biological evaluation of their anti-tuberculosis activity

Imidazolium Ionic Liquids as Potential Anti-Candida Inhibitors: QSAR Modeling and Experimental Studies

Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus: In silico and in vitro studies.

In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumannii

Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform

Prediction of thrombin and factor xa inhibitory activity with associative neural networks

Predictive QSAR modeling of phosphodiesterase 4 inhibitors.

QSAR modeling of antitubercular activity of diverse organic compounds

QSAR studies and antimicrobial potential of 1,3-thiazolylphosphonium salts

QSAR studies, synthesis and antibacterial assessment of new inhibitors against multidrug-resistant Mycobacterium tuberculosis.

QSAR study of some 1,3-oxazolylphosphonium derivatives as new potent anti-Candida agents and their toxicity evaluation

Rational design of isonicotinic acid hydrazide derivatives with anti-tubercular activity: Machine learning, molecular docking, synthesis and biological testing.

Synthesis and Biological Evaluation of Hybrid 1,5- and 2,5-Disubstituted Indoles as Potentially New Antitubercular Agents.

Synthesis and structure–antibacterial activity relationship investigation of isomeric 2,3,5-substituted perhydropyrrolo[3,4-d]isoxazole-4,6-diones

The Quantum Chemical and QSAR Studies on Acinetobacter Baumannii Oxphos Inhibitors

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 electronic-topological and neural networks approach

The structure-inhibitory activity relationships study in a series of cyclooxygenase-2 inhibitors: a combined electronic-topological and neural networks approach.

Volume learning algorithm artificial neural networks for 3D QSAR studies

Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens