All Stories

  1. In vitro Selective Effect of Imidazole Derivatives as Inhibitors of Human Laryngeal Carcinoma
  2. Ionic liquids and lysosomotropic detergents as inhibitors of the SARS-CoV-2 main protease: QSAR modeling, synthesis and biological testing
  3. Acute Toxicity of Quinoline Derivatives as Antibacterial Drug Candidates: In Silico and In Vivo Studies
  4. In silico modeling and experimental validation of 2-oxoimidazolidin-4-sulfonamides as low-toxicity fungicides against Phytophthora infestans
  5. In Silico and In Vitro Studies of 1,3‐Oxazol‐4‐yl Phosphonium Salts as Dual‐Functional Antibacterial and Anticancer Agents
  6. Trifluoroacetyl-Substituted Quinolones as New Antibacterials Against Antibiotic Resistant Strains
  7. Використання QSAR моделей для пошуку інгібіторів тубуліну в ряду похідних 1,3-оксазолу
  8. Antifungal Activity and Cytotoxicity of Imidazole- and Morpholine-Based Lysosomotropic Detergents
  9. Development of Multi-Task QSTR Models for Acute Toxicity Prediction Towards Daphnia Magna Using Machine Learning in the OCHEM Platform
  10. EVALUATION OF ANTIOXIDANT ACTIVITY OF LONG-CHAIN ESTER-FUNCTIONALIZED IMIDAZOLIUM SALTS
  11. In Silico Design and In Vitro Assessment of Bicyclic Trifluoromethylated Pyrroles as New Antibacterial and Antifungal Agents
  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. In vitro activity of novel 4-iminohydantoin sulfamide derivatives against human cytomegalovirus
  15. Quinoline Hydrazone Derivatives as New Antibacterials against Multidrug Resistant Strains
  16. Structure–Activity Relationship Prediction‐Based Synthesis and Cytotoxicity Evaluation against the HEp‐2 Laryngeal Carcinoma Cell of Isoflavone–Cytisine Mannich Bases
  17. Design and experimental validation of the oxazole and thiazole derivatives as potential antivirals against of human cytomegalovirus
  18. 5-AMINO-4-CYANO-1,3-OXAZOLES AS NEW ANTIBACTERIALS AGAINST ANTIBIOTIC-RESISTANT ESCHERICHIA COLI STRAINS
  19. 2(4)-ГІДРАЗИНОХІНОЛІНИ ЯК ПОТЕНЦІЙНІ АНТИБАКТЕРІАЛЬНІ ПРЕПАРАТИ
  20. In Silico Design and Experimental Validation of Novel Oxazole Derivatives Against Varicella zoster virus
  21. Isoxazole-containing sulfanilamides as new antibacterial agents: in silico study, synthesis and in vitro evaluation
  22. Theoretical and Experimental Studies of Phosphonium Ionic Liquids as Potential Antibacterials of MDR Acinetobacter baumannii
  23. Cytisine derivatives as new anti-Escherichia coli agents: in silico and in vitro studies
  24. Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing
  25. Synthesis, QSAR modeling, and molecular docking of novel fused 7‐deazaxanthine derivatives as adenosine A2A receptor antagonists
  26. Ester-Functionalized Imidazolium- and Pyridinium-Based Ionic Liquids: Design, Synthesis and Cytotoxicity Evaluation
  27. In silico and in vitro Studies of Imidazolium Ionic Liquids as Effective Antibacterial Agents against Multidrug Resistant Escherichia coli Strains
  28. 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
  29. Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity
  30. Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing
  31. In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumannii
  32. A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids
  33. New anti-candida active nitrogen-containing bisphosphonates as inhibitors of farnesyl pyrophosphate synthase Candida albicans
  34. New 1,3-oxazolylphosphonium Salts as Potential Biocides: QSAR Study, Synthesis, Antibacterial Activity and Toxicity Evaluation
  35. Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents
  36. Rational design of isonicotinic acid hydrazide derivatives with antitubercular activity: Machine learning, molecular docking, synthesis and biological testing
  37. QSAR study of some 1,3-oxazolylphosphonium derivatives as new potent anti-Candida agents and their toxicity evaluation
  38. The Quantum Chemical and QSAR Studies on Acinetobacter Baumannii Oxphos Inhibitors
  39. Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus : In silico and in vitro studies
  40. Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform
  41. Synthesis and Biological Evaluation of Hybrid 1,5- and 2,5-Disubstituted Indoles as Potentially New Antitubercular Agents
  42. 1,3-Oxazole derivatives as potential anticancer agents: Computer modeling and experimental study
  43. QSAR studies, synthesis and antibacterial assessment of new inhibitors against multidrug-resistant Mycobacterium tuberculosis
  44. QSAR studies and antimicrobial potential of 1,3-thiazolylphosphonium salts
  45. Imidazolium Ionic Liquids as Potential Anti-Candida Inhibitors: QSAR Modeling and Experimental Studies
  46. Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies
  47. Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making
  48. Efficient variable selection batch pruning algorithm for artificial neural networks
  49. New derivatives of isonicotinic acid hydraside as potential antitubercular agents
  50. Prediction of Thrombin and Factor Xa Inhibitory Activity with Associative Neural Networks
  51. Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity
  52. Design and Synthesis of New Potent Inhibitors of Farnesyl Pyrophosphate Synthase
  53. QSAR Studies, Design, Synthesis and Antimicrobial Evaluation of Azole Derivatives
  54. Predictive QSAR modeling of phosphodiesterase 4 inhibitors
  55. QSAR modeling of antitubercular activity of diverse organic compounds
  56. Applicability domain for in silico models to achieve accuracy of experimental measurements
  57. ETM-ANN Approach Application for Thiobenzamide and Quinolizidine Derivatives
  58. Electron-Topological Method of the Non-Nucleoside HIV-1 RT Inhibitors Study: Structure-Activity Relationships
  59. Synthesis and structure–antituberculosis activity relationship of 1H-indole-2,3-dione derivatives
  60. Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens
  61. Synthesis and structure–antibacterial activity relationship investigation of isomeric 2,3,5-substituted perhydropyrrolo[3,4-d]isoxazole-4,6-diones
  62. Investigation of the physical and rheological properties of SBR-1712 rubber compounds by neural network approaches
  63. Combined electronic-topological and neural networks study of some hydroxysemicarbazides as potential antitumor agents
  64. 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
  65. The Structure - Inhibitory Activity Relationships Study in a Series of Cyclooxygenase-2 Inhibitors: A Combined Electronic-Topological and Neural Networks Approach
  66. Human Acetylcholinesterase Inhibitors: Electronic-Topological and Neural Network Approaches to the Structure-Activity Relationships Study
  67. Application of artificial neural networks for the prediction of sulfur polycyclic aromatic compounds retention indices
  68. Volume Learning Algorithm Artificial Neural Networks for 3D QSAR Studies
  69. Application of Self-Organizing Neural Networks with Active Neurons for QSAR Studies
  70. Variable Selection in the Cascade-Correlation Learning Architecture
  71. Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture