These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

100 related articles for article (PubMed ID: 29753609)

  • 21. Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds.
    Gobbi M; Beeg M; Toropova MA; Toropov AA; Salmona M
    Toxicol Lett; 2016 May; 250-251():42-6. PubMed ID: 27067105
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. QSAR Differential Model for Prediction of SIRT1 Modulation using Monte Carlo Method.
    Kumar A; Chauhan S
    Drug Res (Stuttg); 2017 Mar; 67(3):156-162. PubMed ID: 27992935
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predictivity approach for quantitative structure-property models. Application for blood-brain barrier permeation of diverse drug-like compounds.
    Bolboacă SD; Jäntschi L
    Int J Mol Sci; 2011; 12(7):4348-64. PubMed ID: 21845082
    [TBL] [Abstract][Full Text] [Related]  

  • 25. In silico prediction of the β-cyclodextrin complexation based on Monte Carlo method.
    Veselinović AM; Veselinović JB; Toropov AA; Toropova AP; Nikolić GM
    Int J Pharm; 2015 Nov; 495(1):404-409. PubMed ID: 26320546
    [TBL] [Abstract][Full Text] [Related]  

  • 26. CORAL: Monte Carlo Method as a Tool for the Prediction of the Bioconcentration Factor of Industrial Pollutants.
    Toropova AP; Toropov AA; Martyanov SE; Benfenati E; Gini G; Leszczynska D; Leszczynski J
    Mol Inform; 2013 Feb; 32(2):145-54. PubMed ID: 27481276
    [TBL] [Abstract][Full Text] [Related]  

  • 27. QSPR modeling bioconcentration factor (BCF) by balance of correlations.
    Toropov AA; Toropova AP; Benfenati E
    Eur J Med Chem; 2009 Jun; 44(6):2544-51. PubMed ID: 19232785
    [TBL] [Abstract][Full Text] [Related]  

  • 28. QSPR modelling of dielectric constants of π-conjugated organic compounds by means of the CORAL software.
    Achary PG
    SAR QSAR Environ Res; 2014; 25(6):507-26. PubMed ID: 24716837
    [TBL] [Abstract][Full Text] [Related]  

  • 29. QSPR analysis of threshold of odor for the large number of heterogenic chemicals.
    Toropov AA; Toropova AP; Cappellini L; Benfenati E; Davoli E
    Mol Divers; 2018 May; 22(2):397-403. PubMed ID: 29209954
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Statistical confidence for variable selection in QSAR models via Monte Carlo cross-validation.
    Konovalov DA; Sim N; Deconinck E; Vander Heyden Y; Coomans D
    J Chem Inf Model; 2008 Feb; 48(2):370-83. PubMed ID: 18232680
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Use of the Monte Carlo Method for OECD Principles-Guided QSAR Modeling of SIRT1 Inhibitors.
    Kumar A; Chauhan S
    Arch Pharm (Weinheim); 2017 Jan; 350(1):. PubMed ID: 28025857
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Use of quasi-SMILES to build models based on quantitative results from experiments with nanomaterials.
    Toropov AA; Kjeldsen F; Toropova AP
    Chemosphere; 2022 Sep; 303(Pt 2):135086. PubMed ID: 35618064
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Semi-correlations combined with the index of ideality of correlation: a tool to build up model of mutagenic potential.
    Toropova AP; Toropov AA; Veselinović AM; Veselinović JB; Leszczynska D; Leszczynski J
    Mol Cell Biochem; 2019 Feb; 452(1-2):133-140. PubMed ID: 30074137
    [TBL] [Abstract][Full Text] [Related]  

  • 34. In silico assessment of risks associated with pesticides exposure during pregnancy.
    Sobańska AW
    Chemosphere; 2023 Jul; 329():138649. PubMed ID: 37043889
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. QSAR models for toxicity of organic substances to Daphnia magna built up by using the CORAL freeware.
    Toropova AP; Toropov AA; Benfenati E; Gini G
    Chem Biol Drug Des; 2012 Mar; 79(3):332-8. PubMed ID: 22136580
    [TBL] [Abstract][Full Text] [Related]  

  • 37. SMILES-based quantitative structure-property relationships for half-wave potential of N-benzylsalicylthioamides.
    Nesmerak K; Toropov AA; Toropova AP; Kohoutova P; Waisser K
    Eur J Med Chem; 2013 Sep; 67():111-4. PubMed ID: 23850571
    [TBL] [Abstract][Full Text] [Related]  

  • 38. CORAL: QSAR models for acute toxicity in fathead minnow (Pimephales promelas).
    Toropova AP; Toropov AA; Lombardo A; Roncaglioni A; Benfenati E; Gini G
    J Comput Chem; 2012 May; 33(12):1218-23. PubMed ID: 22371019
    [TBL] [Abstract][Full Text] [Related]  

  • 39. In Silico Prediction for Intestinal Absorption and Brain Penetration of Chemical Pesticides in Humans.
    Chedik L; Mias-Lucquin D; Bruyere A; Fardel O
    Int J Environ Res Public Health; 2017 Jun; 14(7):. PubMed ID: 28665355
    [TBL] [Abstract][Full Text] [Related]  

  • 40. QSAR as a random event: a case of NOAEL.
    Toropova AP; Toropov AA; Veselinović JB; Veselinović AM
    Environ Sci Pollut Res Int; 2015 Jun; 22(11):8264-71. PubMed ID: 25520208
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.