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3. Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data. Toropova AP; Toropov AA J Theor Biol; 2017 Mar; 416():113-118. PubMed ID: 28087422 [TBL] [Abstract][Full Text] [Related]
4. SMILES-based QSAR approaches for carcinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes. Toropov AA; Toropova AP; Benfenati E; Gini G; Leszczynska D; Leszczynski J Anticancer Agents Med Chem; 2011 Dec; 11(10):974-82. PubMed ID: 22023046 [TBL] [Abstract][Full Text] [Related]
5. Use of Quasi-SMILES and Monte Carlo Optimization to Develop Quantitative Feature Property/Activity Relationships (QFPR/QFAR) for Nanomaterials. Toropov AA; Rallo R; Toropova AP Curr Top Med Chem; 2015; 15(18):1837-44. PubMed ID: 25961527 [TBL] [Abstract][Full Text] [Related]
6. Mutagenicity: QSAR - quasi-QSAR - nano-QSAR. Toropova AP; Toropov AA Mini Rev Med Chem; 2015; 15(8):608-21. PubMed ID: 25694078 [TBL] [Abstract][Full Text] [Related]
7. Mutagenicity, anticancer activity and blood brain barrier: similarity and dissimilarity of molecular alerts. Toropov AA; Toropova AP; Benfenati E; Salmona M Toxicol Mech Methods; 2018 Jun; 28(5):321-327. PubMed ID: 29281931 [TBL] [Abstract][Full Text] [Related]
8. Nano-QSAR: Model of mutagenicity of fullerene as a mathematical function of different conditions. Toropova AP; Toropov AA; Veselinović AM; Veselinović JB; Benfenati E; Leszczynska D; Leszczynski J Ecotoxicol Environ Saf; 2016 Feb; 124():32-36. PubMed ID: 26452192 [TBL] [Abstract][Full Text] [Related]
9. CORAL: Predictive models for cytotoxicity of functionalized nanozeolites based on quasi-SMILES. Leone C; Bertuzzi EE; Toropova AP; Toropov AA; Benfenati E Chemosphere; 2018 Nov; 210():52-56. PubMed ID: 29986223 [TBL] [Abstract][Full Text] [Related]
10. Quasi-SMILES-Based Nano-Quantitative Structure-Activity Relationship Model to Predict the Cytotoxicity of Multiwalled Carbon Nanotubes to Human Lung Cells. Trinh TX; Choi JS; Jeon H; Byun HG; Yoon TH; Kim J Chem Res Toxicol; 2018 Mar; 31(3):183-190. PubMed ID: 29439565 [TBL] [Abstract][Full Text] [Related]
12. Correlation intensity index: Building up models for mutagenicity of silver nanoparticles. Toropov AA; Toropova AP Sci Total Environ; 2020 Oct; 737():139720. PubMed ID: 32554036 [TBL] [Abstract][Full Text] [Related]
13. QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells. Toropov AA; Toropova AP; Puzyn T; Benfenati E; Gini G; Leszczynska D; Leszczynski J Chemosphere; 2013 Jun; 92(1):31-7. PubMed ID: 23566368 [TBL] [Abstract][Full Text] [Related]
14. Prediction of retention characteristics of heterocyclic compounds. Nesměrák K; Toropov AA; Toropova AP; Yildiz I; Yalcin I; Brozikova M; Klimešová V; Waisser K Anal Bioanal Chem; 2015 Dec; 407(30):9185-9. PubMed ID: 26427498 [TBL] [Abstract][Full Text] [Related]
15. Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES. Toropova AP; Toropov AA; Benfenati E; Leszczynska D; Leszczynski J Biosystems; 2018 Jul; 169-170():5-12. PubMed ID: 29800627 [TBL] [Abstract][Full Text] [Related]
16. Nanomaterials: Quasi-SMILES as a flexible basis for regulation and environmental risk assessment. Toropova AP; Toropov AA Sci Total Environ; 2022 Jun; 823():153747. PubMed ID: 35149067 [TBL] [Abstract][Full Text] [Related]
17. CORAL: Monte Carlo Method to Predict Endpoints for Medical Chemistry. Toropova AP; Toropov AA Mini Rev Med Chem; 2018 Feb; 18(5):382-391. PubMed ID: 28971771 [TBL] [Abstract][Full Text] [Related]
18. Does the Index of Ideality of Correlation Detect the Better Model Correctly? Toropova AP; Toropov AA Mol Inform; 2019 Aug; 38(8-9):e1800157. PubMed ID: 30725522 [TBL] [Abstract][Full Text] [Related]
19. Correlation intensity index: mathematical modeling of cytotoxicity of metal oxide nanoparticles. Ahmadi S; Toropova AP; Toropov AA Nanotoxicology; 2020 Oct; 14(8):1118-1126. PubMed ID: 32877261 [TBL] [Abstract][Full Text] [Related]
20. Use of the index of ideality of correlation to improve predictive potential for biochemical endpoints. Toropov AA; Toropova AP Toxicol Mech Methods; 2019 Jan; 29(1):43-52. PubMed ID: 30064284 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]