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 *

148 related articles for article (PubMed ID: 9152017)

  • 1. Computational predictive programs (expert systems) in toxicology.
    Benfenati E; Gini G
    Toxicology; 1997 May; 119(3):213-25. PubMed ID: 9152017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In silico prediction of drug toxicity.
    Dearden JC
    J Comput Aided Mol Des; 2003; 17(2-4):119-27. PubMed ID: 13677480
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Knowledge-based expert systems for toxicity and metabolism prediction: DEREK, StAR and METEOR.
    Greene N; Judson PN; Langowski JJ; Marchant CA
    SAR QSAR Environ Res; 1999; 10(2-3):299-314. PubMed ID: 10491855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An evaluation of the predictive ability of the QSAR software packages, DEREK, HAZARDEXPERT and TOPKAT, to describe chemically-induced skin irritation.
    Mombelli E
    Altern Lab Anim; 2008 Feb; 36(1):15-24. PubMed ID: 18333711
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Structure-based methods for predicting mutagenicity and carcinogenicity: are we there yet?
    Richard AM
    Mutat Res; 1998 May; 400(1-2):493-507. PubMed ID: 9685707
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer prediction of possible toxic action from chemical structure: an update on the DEREK system.
    Ridings JE; Barratt MD; Cary R; Earnshaw CG; Eggington CE; Ellis MK; Judson PN; Langowski JJ; Marchant CA; Payne MP; Watson WP; Yih TD
    Toxicology; 1996 Jan; 106(1-3):267-79. PubMed ID: 8571398
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of the computer programs DEREK and TOPKAT to predict bacterial mutagenicity. Deductive Estimate of Risk from Existing Knowledge. Toxicity Prediction by Komputer Assisted Technology.
    Cariello NF; Wilson JD; Britt BH; Wedd DJ; Burlinson B; Gombar V
    Mutagenesis; 2002 Jul; 17(4):321-9. PubMed ID: 12110629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intelligent systems: how can they help?
    Kelsey MC
    J Hosp Infect; 1991 Jun; 18 Suppl A():418-23. PubMed ID: 1679810
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Definition of the applicability domains of knowledge-based predictive toxicology expert systems by using a structural fragment-based approach.
    Ellison CM; Enoch SJ; Cronin MT; Madden JC; Judson P
    Altern Lab Anim; 2009 Nov; 37(5):533-45. PubMed ID: 20017582
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessment of the sensitivity of the computational programs DEREK, TOPKAT, and MCASE in the prediction of the genotoxicity of pharmaceutical molecules.
    Snyder RD; Pearl GS; Mandakas G; Choy WN; Goodsaid F; Rosenblum IY
    Environ Mol Mutagen; 2004; 43(3):143-58. PubMed ID: 15065202
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. ESP: a method to predict toxicity and pharmacological properties of chemicals using multiple MCASE databases.
    Klopman G; Chakravarti SK; Zhu H; Ivanov JM; Saiakhov RD
    J Chem Inf Comput Sci; 2004; 44(2):704-15. PubMed ID: 15032553
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Induction of medical expert system rules based on rough sets and resampling methods.
    Tsumoto S; Tanaka H
    Proc Annu Symp Comput Appl Med Care; 1994; ():1066-70. PubMed ID: 7949901
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of rodent carcinogenicity using the DEREK system for 30 chemicals currently being tested by the National Toxicology Program. The DEREK Collaborative Group.
    Marchant CA
    Environ Health Perspect; 1996 Oct; 104 Suppl 5(Suppl 5):1065-73. PubMed ID: 8933056
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative structure-based modeling applied to characterization and prediction of chemical toxicity.
    Benigni R; Richard AM
    Methods; 1998 Mar; 14(3):264-76. PubMed ID: 9571083
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing.
    Woolery L; Grzymala-Busse J; Summers S; Budihardjo A
    Comput Nurs; 1991; 9(6):227-34. PubMed ID: 1747822
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The induction of rules for predicting chemical carcinogenesis in rodents.
    Bahler D; Bristol DW
    Proc Int Conf Intell Syst Mol Biol; 1993; 1():29-37. PubMed ID: 7584348
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computational analysis for hepatic safety signals of constituents present in botanical extracts widely used by women in the United States for treatment of menopausal symptoms.
    Wang YJ; Dou J; Cross KP; Valerio LG
    Regul Toxicol Pharmacol; 2011 Feb; 59(1):111-24. PubMed ID: 20920542
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Commentary on the application of (Q)SAR to the toxicological evaluation of existing chemicals.
    Pölloth C; Mangelsdorf I
    Chemosphere; 1997 Dec; 35(11):2525-42. PubMed ID: 9394448
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The expert system for toxicity prediction of chemicals based on structure-activity relationship.
    Nakadate M; Hayashi M; Sofuni T; Kamata E; Aida Y; Osada T; Ishibe T; Sakamura Y; Ishidate M
    Environ Health Perspect; 1991 Dec; 96():77-9. PubMed ID: 1820282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.