All Stories

  1. SARS-CoV-2 RNA’s Dual Identity: G-Quadruplex versus Hairpin
  2. Accelerating the Design of Cu(I) Complexes with Near-Infrared Absorption by Interpretable Machine Learning Approaches
  3. MixtureMetrics: A comprehensive package to develop additive numerical features to describe complex materials for machine learning modeling
  4. Similarity Analysis of Computer-Generated and Commercial Libraries for Targeted Biocompatible Coded Amino Acid Replacement
  5. Machine learning analysis of a large set of homopolymers to predict glass transition temperatures
  6. Enhancing Plant Protein-Based Bioplastics with Natural Additives: A Comprehensive Study by Experimental and Computational Approaches
  7. Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)
  8. Phenolic Acid–β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR Study
  9. In Silico Prediction of the Biodegradability of Chlorinated Com-pounds: Application of Quantitative Structure-Biodegradability Relationship Approach
  10. Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling
  11. Development of QSAR Models on the Fouling-Release Performance of Silicone Oil-modified Siloxane Polyurethane Coatings
  12. From RNA sequence to its three-dimensional structure: geometrical structure, stability and dynamics of selected fragments of SARS-CoV-2 RNA
  13. Relationships between the Photodegradation Reaction Rate and Structural Properties of Polymer Systems
  14. Combined Machine Learning, Computational, and Experimental Analysis of the Iridium(III) Complexes with Red to Near-Infrared Emission
  15. Design and evaluation of nanoscale materials with programmed responsivity towards epigenetic enzymes
  16. Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives
  17. Stability Constant and Potentiometric Sensitivity of Heavy Metal–Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands
  18. A Quantitative Structure - Permittivity Relationship Study of a Series of Polymers
  19. Development of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer’s Disease
  20. Structural Features Promoting Photocatalytic Degradation of Contaminants of Emerging Concern: Insights into Degradation Mechanism Employing QSA/PR Modeling
  21. Using machine learning algorithms to predict the activity of fullerene nanoparticles
  22. In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach
  23. Combined Machine Learning, Computational and Experimental Analysis of the Iridium(III) Complexes with Red to Near-IR Emission
  24. The Hydrolysis Rate of Paraoxonase-1 Q and R Isoenzymes: An In Silico Study Based on In Vitro Data
  25. Machine Learning Study of Metabolic NetworksvsChEMBL Data of Antibacterial Compounds
  26. Reactive Molecular Dynamics Study of Hygrothermal Degradation of Crosslinked Epoxy Polymers
  27. Molecular Dynamics Study of the Photodegradation of Polymeric Chains
  28. Synergistic Behavior of Plant Proteins and Biobased Latexes in Bioplastic Food Packaging Materials: Experimental and Machine Learning Study
  29. Experimental and Simulation Studies on Nonwoven Polypropylene–Nitrile Rubber Blend: Recycling of Medical Face Masks to an Engineering Product
  30. Machine Learning Analysis of α-amylase Inhibitors
  31. Hot Carrier Dynamics at Ligated Silicon(111) Surfaces: A Computational Study
  32. Computational Protein–Ligand Docking and Experimental Study of Bioplastic Films from Soybean Protein, Zein, and Natural Modifiers
  33. Predicting glass transition of amorphous polymers by application of cheminformatics and molecular dynamics simulations
  34. Determining the Activity of Fullerene Nanoparticles Using QSAR Models
  35. Mathematical modeling of refractive index based on machine learning (kNN-QSPR) method
  36. Preparation and Characterization of Inclusion Complexes of β-Cyclodextrin and Phenolics from Wheat Bran by Combination of Experimental and Computational Techniques
  37. Detection of macromolecular inversion–induced structural changes in osteosarcoma cells by FTIR microspectroscopy
  38. A Refractive Index Study of a Diverse Set of Polymeric Materials by QSPR with Quantum-Chemical and Additive Descriptors
  39. Structure-Hepatoprotective Activity Relationship Study of Iridoids
  40. A Comprehensive Cheminformatics Analysis of Structural Features Affecting the Binding Activity of Fullerene Derivatives
  41. Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures
  42. QSAR/QSPR in Polymers
  43. Descriptors in Nano-QSAR/QSPR Modeling
  44. Comparison of the molecular descriptors efficiency in modeling the structure-activity relationship
  45. Iridoid glucosides and triterpene acids from Phlomis linearifolia, growing in Uzbekistan and its hepatoprotective activity
  46. Combined computational and experimental study on the inclusion complexes of β-cyclodextrin with selected food phenolic compounds
  47. Experimental and Computational Study on the Inclusion Complexes of β-Cyclodextrin with Selected Food Phenolic Compounds
  48. Modeling of Glass Transition Temperatures for Polymeric Coating Materials: Application of QSPR Mixture‐based Approach
  49. Key structural features promoting radical driven degradation of emerging contaminants in water
  50. A chemoinformatics approach for the characterization of hybrid nanomaterials: safer and efficient design perspective
  51. Soysome: A Surfactant-Free, Fully Biobased, Self-Assembled Platform for Nanoscale Drug Delivery Applications
  52. QSPR Modeling of the Refractive Index for Diverse Polymers Using 2D Descriptors
  53. Experimental and Computational Study on the Inclusion Complexes of β-Cyclodextrin with Selected Food Phenolic Compounds
  54. Chemometric modeling of refractive index of polymers using 2D descriptors: A QSPR approach
  55. A computational structure-property relationship study of glass transition temperatures for a diverse set of polymers
  56. AOP degradation of emerging contaminants in water: Prediction of second order kinetics by QSPR modeling
  57. How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach
  58. Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts
  59. Carbon Nanotubes’ Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra
  60. Refractive indices of diverse data set of polymers: A computational QSPR based study
  61. How toxicity of nanomaterials towards different species could be simultaneously evaluated: Novel multi-nano-read-across approach
  62. Photoinduced Charge Transfer versus Fragmentation Pathways in Lanthanum Cyclopentadienyl Complexes
  63. Photofragmentation of Tetranitromethane: Spin-Unrestricted Time-Dependent Excited-State Molecular Dynamics
  64. The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method
  65. In vivo toxicity of nitroaromatics: A comprehensive quantitative structure-activity relationship study
  66. Nanoparticles mutagenicity: search for matches and potential limitations of Comet assay and Ames test
  67. Polymer Coating Materials and Their Fouling Release Activity: A Cheminformatics Approach to Predict Properties
  68. Recent Developments in 3D QSAR and Molecular Docking Studies of Organic and Nanostructures
  69. Exploring Simple, Interpretable, and Predictive QSPR Model of Fullerene C60 Solubility in Organic Solvents
  70. Inhibitors or Toxins? A Computational Study of 169 Fullerene Derivatives with 1200 Proteins.
  71. Synthesis of 6-N-R-Tetrazolo[1,5-c]quinazolin-5(6H)-ones and Their Anticancer Activity
  72. Application of ligand- and receptor-based approaches for prediction of the HIV-RT inhibitory activity of fullerene derivatives
  73. Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach
  74. Recent Developments in 3D QSAR and Molecular Docking Studies of Organic and Nanostructures
  75. Modeling of mass spectra using molecular dynamics (MD) and cheminformatics approaches
  76. Prediction of key structural features responsible for aromaticity of single-benzene ring pollutants and their photooxidative intermediates
  77. Reliable but Timesaving: In Search of an Efficient Quantum-chemical Method for the Description of Functional Fullerenes
  78. Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure–activity relationship approaches
  79. Modeling the Dispersibility of Single Walled Carbon Nanotubes in Organic Solvents by Quantitative Structure-Activity Relationship Approach
  80. Novel Predictive Model for Zeta Potential of Metal Oxide Nanoparticles
  81. Computationally confirmed set of amino acids that able to construct all possible proteins
  82. Genotoxicity of metal oxide nanomaterials - review
  83. Correction: Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms
  84. Novel Causal Inference Methods applied to assess the nano-QSAR Models
  85. Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across
  86. Modeling of photooxidative degradation of aromatics in water matrix; combination of mechanistic and structural-relationship approach
  87. AconitumandDelphiniumDiterpenoid Alkaloids of Local Anesthetic Activity: Comparative QSAR Analysis Based on GA-MLRA/PLS and Optimal Descriptors Approach
  88. Cytotoxicity Mechanisms of metal oxides nanoparticles: Nano-QSAR studies
  89. Toll-like receptors recognize CNTs and C60 fullerenes as pathogens, activate immune protection
  90. Advances in In Silico Research on Nerve Agents
  91. From basic physics to mechanisms of toxicity: the “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles
  92. A study of fullerene derivatives to predict their biological activity by computational methods.
  93. Advancing risk assessment of engineered nanomaterials: Application of computational approaches
  94. Metal Oxide Nanoparticles: Size-Dependence of Quantum-Mechanical Properties
  95. Metal Oxide Nanoparticles: Size-Dependence of Quantum-Mechanical Properties
  96. CORAL: Binary Classifications (Active/Inactive) for Liver-Related Adverse Effects of Drugs
  97. Structures and Stabilities: Quantum-Chemical Study of Aun (n = 2-2016) Nanoclusters by Extended Huckel and DFT Approaches
  98. Structures and Stabilities: Quantum-Chemical Study of Aun (n = 2-2016) Nanoclusters by Extended Huckel and DFT Approaches
  99. Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical
  100. QSAR models for ACE-inhibitor activity of tri-peptides based on representation of the molecular structure by graph of atomic orbitals and SMILES
  101. Room temperature synthesis of PbSe quantum dots in aqueous solution: stabilization by interactions with ligands
  102. Chapter 10. Nano-QSAR: Advances and Challenges
  103. Use of quantitative structure–enantioselective retention relationship for the liquid chromatography chiral separation prediction of the series of pyrrolidin‐2‐one compounds
  104. Structure–Activity Relationship Investigations Of Leishmanicidal N‐Benzylcytisine Derivatives
  105. A first real nano-QSAR model to predict toxicity of metal oxide nanomaterials
  106. Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors
  107. Aconitum and Delphinium alkaloids of curare-like activity. QSAR analysis and molecular docking of alkaloids into AChBP
  108. Choosing safe dispersing media for C60 fullerenes by using cytotoxicity tests on the bacterium Escherichia coli
  109. QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats
  110. Prediction of rate constants for radical degradation of aromatic pollutants in water matrix: A QSAR study
  111. Estrogen activity of terpenoids from plants of the genus Ferula
  112. QSAR modeling of acute toxicity by balance of correlations
  113. Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
  114. Aconitum and Delphinium alkaloids
  115. Multiple Linear Regression Analysis and Optimal Descriptors: Predicting the Cholesteryl Ester Transfer Protein Inhibition Activity
  116. Antiparasitic activity of certain isoquinoline alkaloids and their hypothetical complexes with oligonucleotides
  117. Aconitum and Delphinium sp. alkaloids as antagonist modulators of voltage-gated Na+ channels
  118. Structure‐hepatoprotective activity relationship study of sesquiterpene lactones: A QSAR analysis
  119. New Approach to QSPR Modeling of Fullerene C60 Solubility in Organic Solvents: An Application of SMILES-Based Optimal Descriptors
  120. Molecular modelling and QSAR analysis of the estrogenic activity of terpenoids isolated fromFerulaplants
  121. Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
  122. QSAR Modeling of Acute Toxicity for Nitrobenzene Derivatives Towards Rats: Comparative Analysis by MLRA and Optimal Descriptors
  123. Structure-toxicity relationships of nitroaromatic compounds
  124. A Quantitative Structure‐Activity Relationship (QSAR) Study of the Antioxidant Activity of Flavonoids
  125. Synthesis, Tautomeric States and Crystal Structure of (Z)-Ethyl 2-Cyano-2-(3H-Quinazoline-4-ylidene) Acetate and (Z)-Ethyl 2-Cyano-2-(2-Methyl-3H-Quinazoline-4-ylidene) Acetate
  126. QSAR Analysis of the Structure—Toxicity Relationship of Aconitum and Delphinium Diterpene Alkaloids
  127. Alkaloids Toxicity Prediction
  128. Diterpenoids ofPulicaria salviifolia IV. Structures of salvicinolide and salvicinolin
  129. Investigation of the spatial structure of the sesquiterpene lactone hanphyllin by1H NMR spectroscopy using the shift reagent Eu(FOD)3
  130. Nanoparticles
  131. Nanoparticles
  132. QSPR/QSAR Analyses by Means of the CORAL Software
  133. QSPR/QSAR Analyses by Means of the CORAL Software