All Stories

  1. Anti-inflammatory Activity: In silico and In vivo of Sapogenins Present in Agave brittoniana subsp. brachypus (Trel.)
  2. A Review of Computational Approaches Targeting SARS-CoV-2 Main Protease to the Discovery of New Potential Antiviral Compounds
  3. Computational Modeling of Aldose Reductase Inhibitory Activity of Flavonoids Derivatives for Diabetic Complications Treatment
  4. Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques
  5. In Silico Assessment of ADME Properties: Advances in Caco-2 Cell Monolayer Permeability Modeling
  6. Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry
  7. State of the Art Review and Report of New Tool for Drug Discovery
  8. Dry selection and wet evaluation for the rational discovery of new anthelmintics
  9. A Simple Method to Predict Blood-Brain Barrier Permeability of Drug-Like Compounds Using Classification Trees
  10. An approach toward the identification of new antileishmaniasic compounds.
  11. QSAR Models and Virtual Screening for Discovery of New Analgesic Leads
  12. Multiple Linear Regression Model of Thermolysin Inhibitors
  13. Molecular descriptor from atomic weighted vectors to predict aquatic toxicity
  14. Prediction of acute toxicity of phenol derivatives using multiple linear regression approach for Tetrahymena pyriformis contaminant identification in a median-size database
  15. Prediction of Aquatic Toxicity of Benzene Derivatives to Tetrahymena pyriformis According to OECD Principles
  16. An approach to identify new antihypertensive agents using Thermolysin as model: In silico study based on QSARINS and docking
  17. QSTR modeling based on multiple linear regression for acute toxicity prediction of phenol derivatives against Tetrahymena pyriformis
  18. Prediction of Caco-2 Cell Permeability Using Bilinear Indices and Multiple Linear Regression
  19. Bond-based bilinear indices for computational discovery of novel trypanosomicidal drug-like compounds through virtual screening
  20. In silicoAntibacterial Activity Modeling Based on the TOMOCOMD-CARDD Approach
  21. Tyrosinase Enzyme: 1. An Overview on a Pharmacological Target
  22. Comparative study to predict toxic modes of action of phenols from molecular structures
  23. Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds
  24. A Review of QSAR studies to Discover New Drug-like Compounds Actives Against Leishmaniasis and Trypanosomiasis
  25. Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support
  26. Bond-based linear indices of the non-stochastic and stochastic edge-adjacency matrix. 1. Theory and modeling of ChemPhys properties of organic molecules
  27. Computational discovery of novel trypanosomicidal drug-like chemicals by using bond-based non-stochastic and stochastic quadratic maps and linear discriminant analysis
  28. Applications of Bond-Based 3D-Chiral Quadratic Indices in QSAR Studies Related to Central Chirality Codification
  29. Bond-based 3D-chiral linear indices: Theory and QSAR applications to central chirality codification
  30. Atom-based non-stochastic and stochastic bilinear indices: Application to QSPR/QSAR studies of organic compounds
  31. A novel approach to predict aquatic toxicity from molecular structure
  32. 3D-chiral (2.5) atom-based TOMOCOMD-CARDD descriptors: theory and QSAR applications to central chirality codification
  33. Estimation of ADME Properties in Drug Discovery: Predicting Caco-2 Cell Permeability Using Atom-Based Stochastic and Non-stochastic Linear Indices
  34. Atom-based stochastic and non-stochastic 3D-chiral bilinear indices and their applications to central chirality codification
  35. Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs
  36. Atom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulinbinding affinity of the 31 benchmark steroids data set
  37. 3D-chiral Atom, Atom-type, and Total Non-stochastic and Stochastic Molecular Linear Indices and their Applications to Central Chirality Codification
  38. Linear indices of the ‘macromolecular graph’s nucleotides adjacency matrix’ as a promising approach for bioinformatics studies. Part 1: Prediction of paromomycin’s affinity constant with HIV-1 Ψ-RNA packaging region
  39. Protein linear indices of the ‘macromolecular pseudograph α-carbon atom adjacency matrix’ in bioinformatics. Part 1: Prediction of protein stability effects of a complete set of alanine substitutions in Arc repressor
  40. Atom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry: theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic
  41. Atom, Atom-Type, and Total Linear Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”: Application to QSPR/QSAR Studies of Organic Compounds
  42. Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design I: discovery of anticancer compounds