All Stories

  1. Building realistic nanoparticles from crystal data using an easy web-based tool
  2. How environmental chemicals bind to hormone receptors: insights from computer simulations
  3. Optimizing nanoparticle-mediated drug delivery: insights from compartmental modeling via the CompSafeNano cloud platform
  4. ASCOT: A web tool for the digital construction of energy minimized Ag, CuO, TiO2 spherical nanoparticles and calculation of their atomistic descriptors
  5. Enalos Cloud Platform: A User-Oriented Approach to Cheminformatics and Advanced Materials Informatics
  6. Examining Hemin and its Derivatives: Induction of Heme-Oxygenase-1 Activity and Oxidative Stress in Breast Cancer Cells through Collaborative Experimental Analysis and Molecular Dynamics Simulations
  7. Systematic Review of Naturally Derived Substances That Act as Inhibitors of the Nicotine Metabolizing Enzyme Cytochrome P450 2A6
  8. ERAP Inhibitors in Autoimmunity and Immuno-Oncology: Medicinal Chemistry Insights
  9. Development of a Robust Read-Across Model for the Prediction of Biological Potency of Novel Peroxisome Proliferator-Activated Receptor Delta Agonists
  10. In Vitro Toxicological Insights from the Biomedical Applications of Iron Carbide Nanoparticles in Tumor Theranostics: A Systematic Review and Meta-Analysis
  11. Exploring the Binding Effects of Natural Products and Antihypertensive Drugs on SARS-CoV-2: An In Silico Investigation of Main Protease and Spike Protein
  12. A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation
  13. An In Vitro Dosimetry Tool for the Numerical Transport Modeling of Engineered Nanomaterials Powered by the Enalos RiskGONE Cloud Platform
  14. Precision Medicine Approaches with Metabolomics and Artificial Intelligence
  15. European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials
  16. Representing and describing nanomaterials in predictive nanoinformatics
  17. Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution
  18. In Silico Identification and Evaluation of Natural Products as Potential Tumor Necrosis Factor Function Inhibitors Using Advanced Enalos Asclepios KNIME Nodes
  19. Importance of Surface Topography in Both Biological Activity and Catalysis of Nanomaterials: Can Catalysis by Design Guide Safe by Design?
  20. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
  21. Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
  22. Editorial for the Special Issue From Nanoinformatics to Nanomaterials Risk Assessment and Governance
  23. A first proposal for how to represent nanomaterials' composition and structure in a standardised way
  24. Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data
  25. Structure-Based Discovery of Novel Chemical Classes of Autotaxin Inhibitors
  26. Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna
  27. Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data
  28. Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects
  29. Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment
  30. Nanoinformatics: Artificial Intelligence and Nanotechnology in the New Decade
  31. Zeta‐Potential Read‐Across Model Utilizing Nanodescriptors Extracted via the NanoXtract Image Analysis Tool Available on the Enalos Nanoinformatics Cloud Platform
  32. Computer-Aided Drug Design of β-Secretase, γ-Secretase and Anti-Tau Inhibitors for the Discovery of Novel Alzheimer’s Therapeutics
  33. MS-275 Chemical Analogues Promote Hemoglobin Production and Erythroid Differentiation of K562 Cells
  34. A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform
  35. Read-across predictions of nanoparticle hazard endpoints: a mathematical optimization approach
  36. Development and therapeutic potential of autotaxin small molecule inhibitors: From bench to advanced clinical trials
  37. A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints
  38. In Silico Discovery of Plant-Origin Natural Product Inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)
  39. Current Status and Future Prospects of Small–molecule Protein–protein Interaction (PPI) Inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)
  40. Hydroxamic Acids Constitute a Novel Class of Autotaxin Inhibitors that Exhibit in Vivo Efficacy in a Pulmonary Fibrosis Model
  41. Computational toxicology: From cheminformatics to nanoinformatics
  42. Consensus Predictive Model for Human K562 Cell Growth Inhibition through Enalos Cloud Platform
  43. Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology
  44. Enalos+ KNIME Nodes: New Cheminformatics Tools for Drug Discovery
  45. MouseTox: An online toxicity assessment tool for small molecules through Enalos Cloud platform
  46. Aqueous Solubility Enhancement for Bioassays of Insoluble Inhibitors and QSPR Analysis: A TNF-α Study
  47. Cheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)
  48. Searching for Novel Janus Kinase-2 Inhibitors Using a Combination of Pharmacophore Modeling, 3D-QSAR Studies and Virtual Screening
  49. Development of a Predictive Pharmacophore Model and a 3D-QSAR Study for an in silico Screening of New Potent Bcr-Abl Kinase Inhibitors
  50. Computer Aided Drug Design Approaches for Identification of Novel Autotaxin (ATX) Inhibitors
  51. Editorial: Towards Open Access for Cheminformatics
  52. Open-Source Chemoinformatics Software
  53. Open Source Chemoinformatics Software including KNIME Analytics Platform
  54. A Risk Assessment Tool for the Virtual Screening of Metal Oxide Nanoparticles through Enalos InSilicoNano Platform
  55. Searching for anthranilic acid-based thumb pocket 2 HCV NS5B polymerase inhibitors through a combination of molecular docking, 3D-QSAR and virtual screening
  56. Editorial (Thematic Issue: Advances in Cheminformatics: Drug Discovery, Computational Toxicology and Nanomaterials (Part II))
  57. Rational Drug Design Paradigms: The Odyssey for Designing Better Drugs
  58. Editorial (Thematic Issue: Advances in Cheminformatics: Drug Discovery, Computational Toxicology and Nanomaterials (Part I))
  59. Meet our Editorial Board Members
  60. Exploiting ChEMBL database to identify indole analogs as HCV replication inhibitors
  61. Stability and binding effects of silver(I) complexes at lipoxygenase-1
  62. Editorial
  63. Antiproliferative novel isoxazoles: Modeling, virtual screening, synthesis, and bioactivity evaluation
  64. Enalos InSilicoNano platform: an online decision support tool for the design and virtual screening of nanoparticles
  65. Editorial
  66. Identification of putative estrogen receptor-mediated endocrine disrupting chemicals using QSAR- and structure-based virtual screening approaches
  67. Enalos KNIME nodes: Exploring corrosion inhibition of steel in acidic medium
  68. Rational design, efficient syntheses and biological evaluation of N,N′-symmetrically bis-substituted butylimidazole analogs as a new class of potent Angiotensin II receptor blockers
  69. Comparative study of the AT1 receptor prodrug antagonist candesartan cilexetil with other sartans on the interactions with membrane bilayers
  70. Comparative Binding Effects of Aspirin and Anti-Inflammatory Cu Complex in the Active Site of LOX-1
  71. Molecular Modeling on Pyrimidine-Urea Inhibitors of TNF-α Production: An Integrated Approach Using a Combination of Molecular Docking, Classification Techniques, and 3D-QSAR CoMSIA
  72. Ligand and Structure Based Virtual Screening Strategies for Hit-Finding and Optimization of Hepatitis C Virus (HCV) Inhibitors
  73. Ligand - based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks
  74. Functionalized 4-Hydroxy Coumarins: Novel Synthesis, Crystal Structure and DFT Calculations
  75. In Silico Exploration for Identifying Structure-Activity Relationship of MEK Inhibition and Oral Bioavailability for Isothiazole Derivatives
  76. Collaborative development of predictive toxicology applications
  77. Synthesis and evaluation of the antioxidant and anti-inflammatory activity of novel coumarin-3-aminoamides and their alpha-lipoic acid adducts
  78. A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs
  79. Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors
  80. A novel QSAR model for predicting the inhibition of CXCR3 receptor by 4-N-aryl-[1,4] diazepane ureas
  81. Development and Evaluation of a QSPR Model for the Prediction of Diamagnetic Susceptibility
  82. Identification of a series of novel derivatives as potent HCV inhibitors by a ligand-based virtual screening optimized procedure
  83. Design and Synthesis of Novel Quinolinone-3-aminoamides and Their α-Lipoic Acid Adducts as Antioxidant and Anti-inflammatory Agents
  84. Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening
  85. A Novel QSAR Model for Evaluating and Predicting the Inhibition Activity of Dipeptidyl Aspartyl Fluoromethylketones
  86. A novel QSAR model for predicting induction of apoptosis by 4-aryl-4H-chromenes
  87. A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
  88. A Novel RBF Neural Network Training Methodology to Predict Toxicity to Vibrio Fischeri
  89. A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors
  90. Prediction of intrinsic viscosity in polymer–solvent combinations using a QSPR model
  91. QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices
  92. Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques
  93. Prediction of toxicity using a novel RBF neural network training methodology
  94. Prediction of high weight polymers glass transition temperature using RBF neural networks
  95. Novel Short-Step Synthesis of Functionalized γ-Phenyl-β-hydroxybutenoates and Their Cyclization to 4-Hydroxycoumarins via the N-Hydroxybenzotriazole Methodology.
  96. Novel Short-Step Synthesis of Functionalized γ-Phenyl-β-hydroxybutenoates and their Cyclization to 4-Hydroxycoumarins via the N-Hydroxybenzotriazole Methodology
  97. Development of nonlinear quantitative structure-activity relationships using rbf networks and evolutionary computing
  98. Cyclisation of Novel Amino Oxo Esters to Tetramic Acids− Density Functional Theory Study of the Reaction Mechanism
  99. Quantitative Nanostructure-Activity Relationship Models for the Risk Assessment of NanoMaterials