All Stories

  1. Using AI to predict how toxic “forever chemicals” (PFAS) are, based on their structure
  2. Novel Dorsomorphin Derivatives: Molecular Modeling, Synthesis, and Bioactivity Evaluation
  3. Using explainable AI to predict how iron-based nanoparticles affect cell health
  4. Using AI to predict how nanoparticles affect plant growth for safer and more sustainable agriculture
  5. Molecular dynamics simulations of temperature-dependent PET binding in PETase, ThermoPETase, and FAST-PETase
  6. Building realistic nanoparticles from crystal data using an easy web-based tool
  7. Repurposing Drug Explorer (ReDEx): A Tool for Integrating Disease Networks, Drug Similarity Algorithms and Functional Exploration Powered by Enalos Cloud Platform
  8. How environmental chemicals bind to hormone receptors: insights from computer simulations
  9. How everyday plastic chemicals (phthalates) may affect human fertility and reproductive health
  10. Effect of pH, Temperature, Molecular Weight and Salt Concentration on the Structure and Hydration of Short Poly(N,N-dimethylaminoethyl methacrylate) Chains in Dilute Aqueous Solutions: A Combined Experimental and Molecular Dynamics Study
  11. How tiny enzyme changes can help break down plastic more efficiently
  12. Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials
  13. Discovery of Novel Allosteric Inhibitor Hits for Insulin-Regulated Aminopeptidase Provides Insights on Enzymatic Mechanism
  14. A fast online tool to predict how proteins stick to nanoparticles
  15. A simple online tool to predict where particles end up in the human lungs
  16. Using computer models to improve how nanoparticles deliver drugs in the body
  17. A web tool to build and analyze nanoparticles at the atomic level
  18. A user-friendly online platform for predicting chemical and nanomaterial safety and properties
  19. 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
  20. Natural compounds that may help reduce nicotine addiction by slowing its breakdown in the body
  21. ERAP Inhibitors in Autoimmunity and Immuno-Oncology: Medicinal Chemistry Insights
  22. Using AI to predict how strongly new drugs activate a key metabolic receptor
  23. Are iron-based nanoparticles safe for cancer treatment? Insights from lab studies
  24. Exploring the Binding Effects of Natural Products and Antihypertensive Drugs on SARS-CoV-2: An In Silico Investigation of Main Protease and Spike Protein
  25. How artificial intelligence is transforming drug discovery—and why real-world testing still matters
  26. An In Vitro Dosimetry Tool for the Numerical Transport Modeling of Engineered Nanomaterials Powered by the Enalos RiskGONE Cloud Platform
  27. Precision Medicine Approaches with Metabolomics and Artificial Intelligence
  28. European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials
  29. Representing and describing nanomaterials in predictive nanoinformatics
  30. Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution
  31. In Silico Identification and Evaluation of Natural Products as Potential Tumor Necrosis Factor Function Inhibitors Using Advanced Enalos Asclepios KNIME Nodes
  32. Importance of Surface Topography in Both Biological Activity and Catalysis of Nanomaterials: Can Catalysis by Design Guide Safe by Design?
  33. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
  34. Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
  35. Editorial for the Special Issue From Nanoinformatics to Nanomaterials Risk Assessment and Governance
  36. A first proposal for how to represent nanomaterials' composition and structure in a standardised way
  37. Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data
  38. Structure-Based Discovery of Novel Chemical Classes of Autotaxin Inhibitors
  39. Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna
  40. Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data
  41. Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects
  42. Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment
  43. Nanoinformatics: Artificial Intelligence and Nanotechnology in the New Decade
  44. Zeta‐Potential Read‐Across Model Utilizing Nanodescriptors Extracted via the NanoXtract Image Analysis Tool Available on the Enalos Nanoinformatics Cloud Platform
  45. Computer-Aided Drug Design of β-Secretase, γ-Secretase and Anti-Tau Inhibitors for the Discovery of Novel Alzheimer’s Therapeutics
  46. MS-275 Chemical Analogues Promote Hemoglobin Production and Erythroid Differentiation of K562 Cells
  47. A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform
  48. Read-across predictions of nanoparticle hazard endpoints: a mathematical optimization approach
  49. Development and therapeutic potential of autotaxin small molecule inhibitors: From bench to advanced clinical trials
  50. A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints
  51. In Silico Discovery of Plant-Origin Natural Product Inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)
  52. 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)
  53. Hydroxamic Acids Constitute a Novel Class of Autotaxin Inhibitors that Exhibit in Vivo Efficacy in a Pulmonary Fibrosis Model
  54. Computational toxicology: From cheminformatics to nanoinformatics
  55. Consensus Predictive Model for Human K562 Cell Growth Inhibition through Enalos Cloud Platform
  56. Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology
  57. Enalos+ KNIME Nodes: New Cheminformatics Tools for Drug Discovery
  58. MouseTox: An online toxicity assessment tool for small molecules through Enalos Cloud platform
  59. Aqueous Solubility Enhancement for Bioassays of Insoluble Inhibitors and QSPR Analysis: A TNF-α Study
  60. 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)
  61. Searching for Novel Janus Kinase-2 Inhibitors Using a Combination of Pharmacophore Modeling, 3D-QSAR Studies and Virtual Screening
  62. Development of a Predictive Pharmacophore Model and a 3D-QSAR Study for an in silico Screening of New Potent Bcr-Abl Kinase Inhibitors
  63. Computer Aided Drug Design Approaches for Identification of Novel Autotaxin (ATX) Inhibitors
  64. Editorial: Towards Open Access for Cheminformatics
  65. Open-Source Chemoinformatics Software
  66. Open Source Chemoinformatics Software including KNIME Analytics Platform
  67. A Risk Assessment Tool for the Virtual Screening of Metal Oxide Nanoparticles through Enalos InSilicoNano Platform
  68. Searching for anthranilic acid-based thumb pocket 2 HCV NS5B polymerase inhibitors through a combination of molecular docking, 3D-QSAR and virtual screening
  69. Editorial (Thematic Issue: Advances in Cheminformatics: Drug Discovery, Computational Toxicology and Nanomaterials (Part II))
  70. Rational Drug Design Paradigms: The Odyssey for Designing Better Drugs
  71. Editorial (Thematic Issue: Advances in Cheminformatics: Drug Discovery, Computational Toxicology and Nanomaterials (Part I))
  72. Meet our Editorial Board Members
  73. Exploiting ChEMBL database to identify indole analogs as HCV replication inhibitors
  74. Stability and binding effects of silver(I) complexes at lipoxygenase-1
  75. Editorial
  76. Antiproliferative novel isoxazoles: Modeling, virtual screening, synthesis, and bioactivity evaluation
  77. Enalos InSilicoNano platform: an online decision support tool for the design and virtual screening of nanoparticles
  78. Editorial
  79. Identification of putative estrogen receptor-mediated endocrine disrupting chemicals using QSAR- and structure-based virtual screening approaches
  80. Enalos KNIME nodes: Exploring corrosion inhibition of steel in acidic medium
  81. 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
  82. Comparative study of the AT1 receptor prodrug antagonist candesartan cilexetil with other sartans on the interactions with membrane bilayers
  83. Comparative Binding Effects of Aspirin and Anti-Inflammatory Cu Complex in the Active Site of LOX-1
  84. 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
  85. Ligand and Structure Based Virtual Screening Strategies for Hit-Finding and Optimization of Hepatitis C Virus (HCV) Inhibitors
  86. 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
  87. Functionalized 4-Hydroxy Coumarins: Novel Synthesis, Crystal Structure and DFT Calculations
  88. In Silico Exploration for Identifying Structure-Activity Relationship of MEK Inhibition and Oral Bioavailability for Isothiazole Derivatives
  89. Collaborative development of predictive toxicology applications
  90. Synthesis and evaluation of the antioxidant and anti-inflammatory activity of novel coumarin-3-aminoamides and their alpha-lipoic acid adducts
  91. A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs
  92. Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors
  93. A novel QSAR model for predicting the inhibition of CXCR3 receptor by 4-N-aryl-[1,4] diazepane ureas
  94. Development and Evaluation of a QSPR Model for the Prediction of Diamagnetic Susceptibility
  95. Identification of a series of novel derivatives as potent HCV inhibitors by a ligand-based virtual screening optimized procedure
  96. Design and Synthesis of Novel Quinolinone-3-aminoamides and Their α-Lipoic Acid Adducts as Antioxidant and Anti-inflammatory Agents
  97. Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening
  98. A Novel QSAR Model for Evaluating and Predicting the Inhibition Activity of Dipeptidyl Aspartyl Fluoromethylketones
  99. A novel QSAR model for predicting induction of apoptosis by 4-aryl-4H-chromenes
  100. A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
  101. A Novel RBF Neural Network Training Methodology to Predict Toxicity to Vibrio Fischeri
  102. A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors
  103. Prediction of intrinsic viscosity in polymer–solvent combinations using a QSPR model
  104. QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices
  105. Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques
  106. Prediction of toxicity using a novel RBF neural network training methodology
  107. Prediction of high weight polymers glass transition temperature using RBF neural networks
  108. Novel Short-Step Synthesis of Functionalized γ-Phenyl-β-hydroxybutenoates and Their Cyclization to 4-Hydroxycoumarins via the N-Hydroxybenzotriazole Methodology.
  109. Novel Short-Step Synthesis of Functionalized γ-Phenyl-β-hydroxybutenoates and their Cyclization to 4-Hydroxycoumarins via the N-Hydroxybenzotriazole Methodology
  110. Development of nonlinear quantitative structure-activity relationships using rbf networks and evolutionary computing
  111. Cyclisation of Novel Amino Oxo Esters to Tetramic Acids− Density Functional Theory Study of the Reaction Mechanism
  112. Quantitative Nanostructure-Activity Relationship Models for the Risk Assessment of NanoMaterials