All Stories

  1. In Silico, in Vitro and in Vivo Study of Substituted Imidazolidinone Sulfonamides as Antibacterial Agents
  2. In vitro activity of novel 4-iminohydantoin sulfamide derivatives against human cytomegalovirus
  3. Quinoline Hydrazone Derivatives as New Antibacterials against Multidrug Resistant Strains
  4. Structure–Activity Relationship Prediction‐Based Synthesis and Cytotoxicity Evaluation against the HEp‐2 Laryngeal Carcinoma Cell of Isoflavone–Cytisine Mannich Bases
  5. Design and experimental validation of the oxazole and thiazole derivatives as potential antivirals against of human cytomegalovirus
  6. In Silico Design and Experimental Validation of Novel Oxazole Derivatives Against Varicella zoster virus
  7. Theoretical and Experimental Studies of Phosphonium Ionic Liquids as Potential Antibacterials of MDR Acinetobacter baumannii
  8. Cytisine derivatives as new anti-Escherichia coli agents: in silico and in vitro studies
  9. Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing
  10. Synthesis, QSAR modeling, and molecular docking of novel fused 7‐deazaxanthine derivatives as adenosine A2A receptor antagonists
  11. Ester-Functionalized Imidazolium- and Pyridinium-Based Ionic Liquids: Design, Synthesis and Cytotoxicity Evaluation
  12. In silico and in vitro Studies of Imidazolium Ionic Liquids as Effective Antibacterial Agents against Multidrug Resistant Escherichia coli Strains
  13. 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
  14. Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity
  15. Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing
  16. In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumannii
  17. A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids
  18. New anti-candida active nitrogen-containing bisphosphonates as inhibitors of farnesyl pyrophosphate synthase Candida albicans
  19. New 1,3-oxazolylphosphonium Salts as Potential Biocides: QSAR Study, Synthesis, Antibacterial Activity and Toxicity Evaluation
  20. Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents
  21. Rational design of isonicotinic acid hydrazide derivatives with antitubercular activity: Machine learning, molecular docking, synthesis and biological testing
  22. QSAR study of some 1,3-oxazolylphosphonium derivatives as new potent anti-Candida agents and their toxicity evaluation
  23. The Quantum Chemical and QSAR Studies on Acinetobacter Baumannii Oxphos Inhibitors
  24. Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus : In silico and in vitro studies
  25. Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform
  26. Synthesis and Biological Evaluation of Hybrid 1,5- and 2,5-Disubstituted Indoles as Potentially New Antitubercular Agents
  27. 1,3-Oxazole derivatives as potential anticancer agents: Computer modeling and experimental study
  28. QSAR studies, synthesis and antibacterial assessment of new inhibitors against multidrug-resistant Mycobacterium tuberculosis
  29. QSAR studies and antimicrobial potential of 1,3-thiazolylphosphonium salts
  30. Imidazolium Ionic Liquids as Potential Anti-Candida Inhibitors: QSAR Modeling and Experimental Studies
  31. Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies
  32. Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making
  33. Efficient variable selection batch pruning algorithm for artificial neural networks
  34. Prediction of Thrombin and Factor Xa Inhibitory Activity with Associative Neural Networks
  35. Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity
  36. Design and Synthesis of New Potent Inhibitors of Farnesyl Pyrophosphate Synthase
  37. QSAR Studies, Design, Synthesis and Antimicrobial Evaluation of Azole Derivatives
  38. Predictive QSAR modeling of phosphodiesterase 4 inhibitors
  39. QSAR modeling of antitubercular activity of diverse organic compounds
  40. Applicability domain for in silico models to achieve accuracy of experimental measurements
  41. ETM-ANN Approach Application for Thiobenzamide and Quinolizidine Derivatives
  42. Electron-Topological Method of the Non-Nucleoside HIV-1 RT Inhibitors Study: Structure-Activity Relationships
  43. Synthesis and structure–antituberculosis activity relationship of 1H-indole-2,3-dione derivatives
  44. Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens
  45. Synthesis and structure–antibacterial activity relationship investigation of isomeric 2,3,5-substituted perhydropyrrolo[3,4-d]isoxazole-4,6-diones
  46. Investigation of the physical and rheological properties of SBR-1712 rubber compounds by neural network approaches
  47. Combined electronic-topological and neural networks study of some hydroxysemicarbazides as potential antitumor agents
  48. 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
  49. The Structure - Inhibitory Activity Relationships Study in a Series of Cyclooxygenase-2 Inhibitors: A Combined Electronic-Topological and Neural Networks Approach
  50. Human Acetylcholinesterase Inhibitors: Electronic-Topological and Neural Network Approaches to the Structure-Activity Relationships Study
  51. Application of artificial neural networks for the prediction of sulfur polycyclic aromatic compounds retention indices
  52. Volume Learning Algorithm Artificial Neural Networks for 3D QSAR Studies
  53. Application of Self-Organizing Neural Networks with Active Neurons for QSAR Studies
  54. Variable Selection in the Cascade-Correlation Learning Architecture
  55. Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture