BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

333 related articles for article (PubMed ID: 22225702)

  • 1. First report on development of quantitative interspecies structure-carcinogenicity relationship models and exploring discriminatory features for rodent carcinogenicity of diverse organic chemicals using OECD guidelines.
    Kar S; Roy K
    Chemosphere; 2012 Apr; 87(4):339-55. PubMed ID: 22225702
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.
    Valerio LG; Arvidson KB; Chanderbhan RF; Contrera JF
    Toxicol Appl Pharmacol; 2007 Jul; 222(1):1-16. PubMed ID: 17482223
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of classification and regression based QSAR models to predict rodent carcinogenic potency using oral slope factor.
    Kar S; Deeb O; Roy K
    Ecotoxicol Environ Saf; 2012 Aug; 82():85-95. PubMed ID: 22698880
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of quantitative structure-activity relationship (QSAR) models to predict the carcinogenic potency of chemicals. II. Using oral slope factor as a measure of carcinogenic potency.
    Wang NC; Venkatapathy R; Bruce RM; Moudgal C
    Regul Toxicol Pharmacol; 2011 Mar; 59(2):215-26. PubMed ID: 20951756
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Safety and nutritional assessment of GM plants and derived food and feed: the role of animal feeding trials.
    EFSA GMO Panel Working Group on Animal Feeding Trials
    Food Chem Toxicol; 2008 Mar; 46 Suppl 1():S2-70. PubMed ID: 18328408
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a robust QSAR model for prediction of carcinogenicity of drugs.
    Kar S; Roy K
    Indian J Biochem Biophys; 2011 Apr; 48(2):111-22. PubMed ID: 21682143
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A combination of 3D-QSAR, docking, local-binding energy (LBE) and GRID study of the species differences in the carcinogenicity of benzene derivatives chemicals.
    Fratev F; Benfenati E
    J Mol Graph Model; 2008 Sep; 27(2):147-60. PubMed ID: 18495507
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Testing computational toxicology models with phytochemicals.
    Valerio LG; Arvidson KB; Busta E; Minnier BL; Kruhlak NL; Benz RD
    Mol Nutr Food Res; 2010 Feb; 54(2):186-94. PubMed ID: 20024931
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative structure carcinogenicity relationship for detecting structural alerts in nitroso-compounds.
    Helguera AM; González MP; D S Cordeiro MN; Pérez MA
    Toxicol Appl Pharmacol; 2007 Jun; 221(2):189-202. PubMed ID: 17477948
    [TBL] [Abstract][Full Text] [Related]  

  • 10. First report on interspecies quantitative correlation of ecotoxicity of pharmaceuticals.
    Kar S; Roy K
    Chemosphere; 2010 Oct; 81(6):738-47. PubMed ID: 20692010
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation of a QSAR model for acute toxicity.
    Pavan M; Netzeva TI; Worth AP
    SAR QSAR Environ Res; 2006 Apr; 17(2):147-71. PubMed ID: 16644555
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative structure-activity relationship modelling of the carcinogenic risk of nitroso compounds using regression analysis and the TOPS-MODE approach.
    Helguera AM; Pérez-Machado G; Cordeiro MN; Combes RD
    SAR QSAR Environ Res; 2010 Apr; 21(3-4):277-304. PubMed ID: 20544552
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of QSAR models for predicting hepatocarcinogenic toxicity of chemicals.
    Massarelli I; Imbriani M; Coi A; Saraceno M; Carli N; Bianucci AM
    Eur J Med Chem; 2009 Sep; 44(9):3658-64. PubMed ID: 19272677
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantitative structure-carcinogenicity relationship for detecting structural alerts in nitroso compounds: species, rat; sex, female; route of administration, gavage.
    Morales Helguera A; Pérez González M; Dias Soeiro Cordeiro MN; Cabrera Pérez MA
    Chem Res Toxicol; 2008 Mar; 21(3):633-42. PubMed ID: 18293904
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predictive models for carcinogenicity and mutagenicity: frameworks, state-of-the-art, and perspectives.
    Benfenati E; Benigni R; Demarini DM; Helma C; Kirkland D; Martin TM; Mazzatorta P; Ouédraogo-Arras G; Richard AM; Schilter B; Schoonen WG; Snyder RD; Yang C
    J Environ Sci Health C Environ Carcinog Ecotoxicol Rev; 2009 Apr; 27(2):57-90. PubMed ID: 19412856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation of wildlife hazard levels using interspecies correlation models and standard laboratory rodent toxicity data.
    Awkerman JA; Raimondo S; Barron MG
    J Toxicol Environ Health A; 2009; 72(24):1604-9. PubMed ID: 20077235
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of the OECD (Q)SAR Application Toolbox and Toxtree for predicting and profiling the carcinogenic potential of chemicals.
    Mombelli E; Devillers J
    SAR QSAR Environ Res; 2010 Oct; 21(7-8):731-52. PubMed ID: 21120759
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AI and SAR approaches for predicting chemical carcinogenicity: survey and status report.
    Richardt AM; Benigni R
    SAR QSAR Environ Res; 2002 Mar; 13(1):1-19. PubMed ID: 12074379
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparative analysis of predictive models for nongenotoxic hepatocarcinogenicity using both toxicogenomics and quantitative structure-activity relationships.
    Liu Z; Kelly R; Fang H; Ding D; Tong W
    Chem Res Toxicol; 2011 Jul; 24(7):1062-70. PubMed ID: 21627106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of quantitative structure-activity relationship (QSAR) models to predict the carcinogenic potency of chemicals I. Alternative toxicity measures as an estimator of carcinogenic potency.
    Venkatapathy R; Wang CY; Bruce RM; Moudgal C
    Toxicol Appl Pharmacol; 2009 Jan; 234(2):209-21. PubMed ID: 18977375
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.