163 results on '"Kovalishyn, Vasyl"'
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2. Anticancer activity features of imidazole-based ionic liquids and lysosomotropic detergents: in silico and in vitro studies
3. In vitro activity of novel 4-iminohydantoin sulfamide derivatives against human cytomegalovirus
4. New QSTR models to evaluation of imidazolium- and pyridinium-contained ionic liquids toxicity
5. In silico modeling and experimental validation of 2-oxoimidazolidin-4-sulfonamides as low-toxicity fungicides against Phytophthora infestans
6. Development and application of in silico models to design new antibacterial 5-amino-4-cyano-1,3-oxazoles against colistin-resistant E. coli strains
7. In Silico Design and in Vitro Assessment of Bicyclic Trifluoromethylated Pyrroles as New Antibacterial and Antifungal Agents
8. Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing
9. 1,3-Oxazole derivatives of cytisine as potential inhibitors of glutathione reductase of Candida spp.: QSAR modeling, docking analysis and experimental study of new anti-Candida agents
10. Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing
11. A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids
12. Anticancer activity features of imidazole-based ionic liquids and lysosomotropic detergents: in silico and in vitro studies
13. In Silico, In Vitro and In Vivo Study of Substituted Imidazolidinone Sulfonamides as Antibacterial Agents
14. Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents
15. Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus: In silico and in vitro studies
16. Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform
17. In vitro activity of novel 4-iminohydantoin sulfamide derivatives against human cytomegalovirus
18. Quinoline Hydrazone Derivatives as New Antibacterials against Multidrug Resistant Strains
19. Structure‐Activity Relationship Prediction‐Based Synthesis and Cytotoxicity Evaluation Against the HEp‐2 Laryngeal Carcinoma Cell of Isoflavone–Cytisine Mannich Bases
20. 1,3-Oxazole derivatives as potential anticancer agents: Computer modeling and experimental study
21. In Silico Design and Experimental Validation of Novel Oxazole Derivatives Against Varicella zoster virus
22. Environmental Safety of Ionic Liquids: In Silico and in Vivo Studies
23. Efficient variable selection batch pruning algorithm for artificial neural networks
24. Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity
25. Predictive QSAR modeling of phosphodiesterase 4 inhibitors
26. Theoretical and Experimental Studies of Phosphonium Ionic Liquids as Potential Antibacterials of MDR Acinetobacter baumannii
27. Operation Optimization of DC Distribution Network with BSS Based on GA-WDO Hybrid Algorithm
28. QSAR modeling of antitubercular activity of diverse organic compounds
29. Cytisine derivatives as new anti-Escherichia coli agents: in silico and in vitro studies
30. Synthesis, QSAR modeling, and molecular docking of novel fused 7‐deazaxanthine derivatives as adenosine A 2A receptor antagonists
31. Synthesis, QSAR modeling, and molecular docking of novel fused 7‐deazaxanthine derivatives as adenosine A2A receptor antagonists.
32. In silico and in vitro Studies of Imidazolium Ionic Liquids as Effective Antibacterial Agents against Multidrug Resistant Escherichia coli Strains
33. Synthesis and structure–antituberculosis activity relationship of 1 H-indole-2,3-dione derivatives
34. Synthesis and structure–antibacterial activity relationship investigation of isomeric 2,3,5-substituted perhydropyrrolo[3,4- d]isoxazole-4,6-diones
35. Structure-Activity Relationship Modeling and Experimental Validation of the Imidazolium and Pyridinium Based Ionic Liquids as Potential Antibacterials of MDR Acinetobacter baumannii and Staphylococcus aureus
36. Variable Selection in the Cascade-Correlation Learning Architecture
37. Application of Self-Organizing Neural Networks with Active Neurons for QSAR Studies
38. Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity
39. In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumannii
40. Application of artificial neural networks for the prediction of sulfur polycyclic aromatic compounds retention indices
41. Electron-Topological Method of the Non-Nucleoside HIV-1 RT Inhibitors Study: Structure-Activity Relationships
42. QSAR Study of Some 1,3-Oxazolylphosphonium Derivatives as New Potent Anti-Candida Agents and Their Toxicity Evaluation
43. New 1,3-oxazolylphosphonium Salts as Potential Biocides: QSAR Study, Synthesis, Antibacterial Activity and Toxicity Evaluation
44. Rational design of isonicotinic acid hydrazide derivatives with antitubercular activity: Machine learning, molecular docking, synthesis and biological testing
45. The Quantum Chemical and QSAR Studies on Acinetobacter Baumannii Oxphos Inhibitors
46. QSAR Studies, Synthesis and Antibacterial Assessment of New Inhibitors Against Multidrug-Resistant Mycobacterium tuberculosis
47. Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Anti-tuberculosis Activity
48. Imidazolium Ionic Liquids as Potential Anti-Candida Inhibitors: QSAR Modeling and Experimental Studies
49. Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies
50. Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making
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