All Stories

  1. A Review of Computational Approaches Targeting SARS-CoV-2 Main Protease to the Discovery of New Potential Antiviral Compounds
  2. Higher-Order and Mixed Discrete Derivatives such as a Novel Graph- Theoretical Invariant for Generating New Molecular Descriptors
  3. Beyond model interpretability using LDA and decision trees for α‐amylase and α‐glucosidase inhibitor classification studies
  4. Quinazolin‐4(3 H )‐one‐Based Hydroxamic Acids: Design, Synthesis and Evaluation of Histone Deacetylase Inhibitory Effects and Cytotoxicity
  5. Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques
  6. In Silico Assessment of ADME Properties: Advances in Caco-2 Cell Monolayer Permeability Modeling
  7. (E)-N'-Arylidene-2-(4-oxoquinazolin-4(3H)-yl) acetohydrazides: Synthesis and evaluation of antitumor cytotoxicity and caspase activation activity
  8. Design, Synthesis and Evaluation of Novel 3/4-((Substituted benzamidophenoxy)methyl)-N-hydroxybenzamides / propenamides as Histone Deacetylase Inhibitors and Antitumor Agents
  9. Novel Hydroxamic Acids Incorporating 1-((1H-1,2,3-Triazol-4-yl)methyl)- 3-substituted-2-oxoindolines: Synthesis, Biological Evaluation and SAR Analysis
  10. Quinazoline-Based Hydroxamic Acids: Design, Synthesis, and Evaluation of Histone Deacetylase Inhibitory Effects and Cytotoxicity
  11. Novel hydroxamic acids incorporating 1-((1H-1,2,3-Triazol-4-yl)methyl)-3-hydroxyimino-indolin-2-ones: synthesis, biological evaluation, and SAR analysis
  12. Exploration of Some Thiazolidine-2,4-dione and 2-Oxoindoline Derivatives Incorporating 3,4,5-Trimethoxybenzyl Moiety as Novel Anticancer Agents
  13. Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry
  14. A desirability-based multi objective approach for the virtual screening discovery of broad-spectrum anti-gastric cancer agents
  15. Design, synthesis and evaluation of novel N -hydroxybenzamides/ N -hydroxypropenamides incorporating quinazolin-4(3 H )-ones as histone deacetylase inhibitors and antitumor agents
  16. INTEGRATING STRUCTURE AND LIGAND-BASED APPROACHES FOR MODELLING THE HISTONE DEACETYLASE INHIBITION ACTIVITY OF HYDROXAMIC ACID DERIVATIVES
  17. Atom based linear index descriptors in QSAR-machine learning classifiers for the prediction of ubiquitin-proteasome pathway activity
  18. Blood-Brain Barrier Passage Prediction Using Decision Tree
  19. Machine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformis
  20. Exploration of some indole-based hydroxamic acids as histone deacetylase inhibitors and antitumor agents
  21. Novel N -hydroxybenzamides incorporating 2-oxoindoline with unexpected potent histone deacetylase inhibitory effects and antitumor cytotoxicity
  22. Dry selection and wet evaluation for the rational discovery of new anthelmintics
  23. Quantitative structure–activity relationship analysis and virtual screening studies for identifying HDAC2 inhibitors from known HDAC bioactive chemical libraries
  24. A Simple Method to Predict Blood-Brain Barrier Permeability of Drug-Like Compounds Using Classification Trees
  25. Prediction of acute toxicity of phenol derivatives using multiple linear regression approach for Tetrahymena pyriformis contaminant identification in a median-size database
  26. Generalized Molecular Descriptors Derived From Event-Based Discrete Derivative
  27. Physico-Chemical and Structural Interpretation of Discrete Derivative Indices on N-Tuples Atoms
  28. Multi-output Model with Box-Jenkins Operators of Quadratic Indices for Prediction of Malaria and Cancer Inhibitors Targeting Ubiquitin- Proteasome Pathway (UPP) Proteins
  29. Exploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling
  30. Machine Learning and Atom-Based Quadratic Indices for Proteasome Inhibition Prediction
  31. Towards computational prediction of Biopharmaceutics Classification System: a QSPR approach
  32. Multi-Criteria Decision Making: the Best Choice for the Modeling of Chemicals against Hyper-Pigmentation?
  33. Optimum Search Strategies or Novel 3D Molecular Descriptors: is there a Stalemate?
  34. Prediction of Caco-2 Cell Permeability Using Bilinear Indices and Multiple Linear Regression
  35. Novel 3-substituted-2-oxoindoline-based N-hydroxypropenamides as Histone Deacetylase Inhibitors and Antitumor Agents
  36. Organ and tissue-dependent effect of resveratrol and exercise on antioxidant defenses of old mice
  37. Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set
  38. Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway
  39. Protective effect of Tetracera scandens L. leaf extract against CCl4-induced acute liver injury in rats
  40. Analysis of Proteasome Inhibition Prediction Using Atom-Based Quadratic Indices Enhanced by Machine Learning Classification Techniques
  41. Tyrosinase Enzyme: 1. An Overview on a Pharmacological Target
  42. A Rational Workflow for Sequential Virtual Screening of Chemical Libraries on Searching for New Tyrosinase Inhibitors
  43. The Use of Rule-Based and QSPR Approaches in ADME Profiling: A Case Study on Caco-2 Permeability
  44. Comparative study to predict toxic modes of action of phenols from molecular structures
  45. Retrained Classification of Tyrosinase Inhibitors and “In Silico” Potency Estimation by Using Atom-Type Linear Indices
  46. A Comparative Study of Nonlinear Machine Learning for the “In Silico” Depiction of Tyrosinase Inhibitory Activity from Molecular Structure
  47. QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
  48. Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database
  49. Retrained Classification of Tyrosinase Inhibitors and “In Silico” Potency Estimation by Using Atom-Type Linear Indices