BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 31901511)

  • 1. Use of the index of ideality of correlation to improve aquatic solubility model.
    Toropov AA; Toropova AP; Marzo M; Benfenati E
    J Mol Graph Model; 2020 May; 96():107525. PubMed ID: 31901511
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetness.
    Achary PGR; Toropova AP; Toropov AA
    Food Res Int; 2019 Aug; 122():40-46. PubMed ID: 31229093
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides.
    Toropova AP; Toropov AA; Carnesecchi E; Benfenati E; Dorne JL
    Environ Sci Pollut Res Int; 2020 Apr; 27(12):13339-13347. PubMed ID: 32020455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. The study of the index of ideality of correlation as a new criterion of predictive potential of QSPR/QSAR-models.
    Toropov AA; Raška I; Toropova AP; Raškova M; Veselinović AM; Veselinović JB
    Sci Total Environ; 2019 Apr; 659():1387-1394. PubMed ID: 31096349
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The Monte Carlo method to build up models of the hydrolysis half-lives of organic compounds.
    Toropov AA; Toropova AP; Lombardo A; Roncaglioni A; Lavado GJ; Benfenati E
    SAR QSAR Environ Res; 2021 Jun; 32(6):463-471. PubMed ID: 33896300
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Can the Monte Carlo method predict the toxicity of binary mixtures?
    Toropova AP; Toropov AA
    Environ Sci Pollut Res Int; 2021 Aug; 28(29):39493-39500. PubMed ID: 33755888
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Idealization of correlations between optimal simplified molecular input-line entry system-based descriptors and skin sensitization.
    Toropov AA; Toropova AP; Selvestrel G; Benfenati E
    SAR QSAR Environ Res; 2019 Jun; 30(6):447-455. PubMed ID: 31124730
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR.
    Toropov AA; Toropova AP
    Curr Comput Aided Drug Des; 2020; 16(3):197-206. PubMed ID: 30919781
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation.
    Kumar A; Kumar P
    SAR QSAR Environ Res; 2021 Oct; 32(10):817-834. PubMed ID: 34530657
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CORAL: QSPR model of water solubility based on local and global SMILES attributes.
    Toropov AA; Toropova AP; Benfenati E; Gini G; Leszczynska D; Leszczynski J
    Chemosphere; 2013 Jan; 90(2):877-80. PubMed ID: 22921649
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Design and development of novel focal adhesion kinase (FAK) inhibitors using Monte Carlo method with index of ideality of correlation to validate QSAR.
    Kumar P; Kumar A; Sindhu J
    SAR QSAR Environ Res; 2019 Feb; 30(2):63-80. PubMed ID: 30793981
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 'Ideal correlations' for the predictive toxicity to
    Toropov AA; Toropova AP; Benfenati E
    Toxicol Mech Methods; 2020 Oct; 30(8):605-610. PubMed ID: 32718259
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSPR modeling the aqueous solubility of alcohols by optimization of correlation weights of local graph invariants.
    Duchowicz PR; Castro EA; Toropov AA; Nesterov IV; Nabiev OM
    Mol Divers; 2004; 8(4):325-30. PubMed ID: 15612636
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Quasi-SMILES as a basis to build up models of endpoints for nanomaterials.
    Toropova AP; Toropov AA
    Environ Technol; 2023 Dec; 44(28):4460-4467. PubMed ID: 35748421
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The anesthetic action of some polyhalogenated ethers-Monte Carlo method based QSAR study.
    Golubović M; Lazarević M; Zlatanović D; Krtinić D; Stoičkov V; Mladenović B; Milić DJ; Sokolović D; Veselinović AM
    Comput Biol Chem; 2018 Aug; 75():32-38. PubMed ID: 29734080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Application of the Combination of Monte Carlo Optimization Method based QSAR Modeling and Molecular Docking in Drug Design and Development.
    Zivkovic M; Zlatanovic M; Zlatanovic N; Golubović M; Veselinović AM
    Mini Rev Med Chem; 2020; 20(14):1389-1402. PubMed ID: 32048970
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting Cytotoxicity of 2-Phenylindole Derivatives Against Breast Cancer Cells Using Index of Ideality of Correlation.
    Toropov AA; Toropova AP
    Anticancer Res; 2018 Nov; 38(11):6189-6194. PubMed ID: 30396936
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.