124 results on '"Toropov, Andrey A."'
Search Results
2. In silico prediction of the mutagenicity of nitroaromatic compounds using correlation weights of fragments of local symmetry
3. Quasi-SMILES for predicting toxicity of Nano-mixtures to Daphnia Magna
4. Computational approach for building QSAR models for inhibition of HIF-1A
5. Use of quasi-SMILES to build models based on quantitative results from experiments with nanomaterials
6. A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians
7. Nanomaterials: Quasi-SMILES as a flexible basis for regulation and environmental risk assessment
8. The system of self-consistent models for vapour pressure
9. The development of nano-QSPR models for viscosity of nanofluids using the index of ideality of correlation and the correlation intensity index
10. QSAR models for soil ecotoxicity: Development and validation of models to predict reproductive toxicity of organic chemicals in the collembola Folsomia candida
11. Quasi-Smiles: Self-Consistent Models for Toxicity of Organic Chemicals to Tadpoles
12. How Chemoinformatic Modeling Can Be Used to Explore Aquatic Toxicity of Fullerene Derivatives Using Human Proteins
13. How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseases
14. Use of Quasi-Smiles to Build Models Based on Quantitative Results from Experiments with Nanomaterials
15. Semi-correlations as a tool to model for skin sensitization
16. Application of quasi-SMILES to the model of gold-nanoparticles uptake in A549 cells
17. Using quasi-SMILES for the predictive modeling of the safety of 574 metal oxide nanoparticles measured in different experimental conditions
18. The index of ideality of correlation improves the predictive potential of models of the antioxidant activity of tripeptides from frog skin (Litoria rubella)
19. Quasi-SMILES as a basis for the development of models for the toxicity of ZnO nanoparticles
20. The unreliability of the reliability criteria in the estimation of QSAR for skin sensitivity: A pun or a reliable law?
21. How the CORAL software can be used to select compounds for efficient treatment of neurodegenerative diseases?
22. Advancement of predictive modeling of zeta potentials (ζ) in metal oxide nanoparticles with correlation intensity index (CII)
23. Ecosystem ecology: Models for acute toxicity of pesticides towards Daphnia magna
24. QSAR model for pesticides toxicity to Rainbow Trout based on “ideal correlations”
25. Correlation intensity index: Building up models for mutagenicity of silver nanoparticles
26. Zebrafish AC modelling: (Q)SAR models to predict developmental toxicity in zebrafish embryo
27. Correlation Intensity Index (CII) as a criterion of predictive potential: Applying to model thermal conductivity of metal oxide-based ethylene glycol nanofluids
28. Use of the index of ideality of correlation to improve aquatic solubility model
29. Predicting acute contact toxicity of organic binary mixtures in honey bees (A. mellifera) through innovative QSAR models
30. Corrigendum to “Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles” [Toxicol. Lett. 275 (June) (2017) 57–66]
31. CORAL: Building up QSAR models for the chromosome aberration test
32. The Correlation Contradictions Index (CCI): Building up reliable models of mutagenic potential of silver nanoparticles under different conditions using quasi-SMILES
33. “Ideal correlations” for biological activity of peptides
34. Corrigendum to “The application of new HARD-descriptor available from the CORAL software to building up NOAEL models” [Food Chem. Toxicol. 112 (2018) 544–550]
35. QSPR and nano-QSPR: What is the difference?
36. The study of the index of ideality of correlation as a new criterion of predictive potential of QSPR/QSAR-models
37. Estimation of 2D autocorrelation descriptors and 2D Monte Carlo descriptors as a tool to build up predictive models for acetylcholinesterase (AChE) inhibitory activity
38. CORAL: Predictive models for cytotoxicity of functionalized nanozeolites based on quasi-SMILES
39. Quasi-SMILES as a tool to predict removal rates of pharmaceuticals and dyes in sewage
40. Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES
41. SAR for gastro-intestinal absorption and blood-brain barrier permeation of pesticides
42. Application of the Monte Carlo method for building up models for octanol-water partition coefficient of platinum complexes
43. CORAL: QSAR models for carcinogenicity of organic compounds for male and female rats
44. The application of new HARD-descriptor available from the CORAL software to building up NOAEL models
45. QSAR model for blood-brain barrier permeation
46. QSAR models for predicting acute toxicity of pesticides in rainbow trout using the CORAL software and EFSA’s OpenFoodTox database
47. The index of ideality of correlation: A criterion of predictive potential of QSPR/QSAR models?
48. Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles
49. Prediction of gas chromatographic retention indices based on Monte Carlo method
50. CORAL and Nano-QFAR: Quantitative feature – Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co 3 O 4 , and TiO 2 )
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