Building an organ-specific carcinogenic database for SAR analyses

Journal of Toxicology and Environmental Health - Part A

Volumn 67, Issue 17, 2004, Pages 1363-1389

  Young, John F ^a   Tong, Weida ^a   Fang, Hong ^b   Xie, Qian ^b   Pearce, Bruce ^a   Hashemi, Ray ^c   Beger, Richard D ^a   Cheeseman, Mitchell A ^d   Chen, James J ^a   Chang, Yuan Chin I ^e   Kodell, Ralph L ^a  

^a NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^b Logicon ROW Sciences   (United States)

^c Armstrong State University   (United States)

^d Center for Food Safety and Nutrition   (United States)

^e INSTITUTE OF STATISTICAL SCIENCE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

1,2 DIBROMOETHANE; 1,2 DICHLOROETHANE; 1,3 BUTADIENE; 1,3 DIETHYLTHIOUREA; 4 NITROANILINE; ACRYLIC ACID ETHYL ESTER; AZOBENZENE; BENZENE DERIVATIVE; BENZYL ACETATE; BUTYLCRESOL; CAPTAN; ENDOSULFAN; HYDROQUINONE; INORGANIC COMPOUND; N PHENYL 2 NAPHTHYLAMINE; ORGANOMETALLIC COMPOUND; PARACETAMOL; PHOSPHORIC ACID TRIS(2,3 DIBROMOPROPYL) ESTER; PIPERONYL SULPHOXIDE; POTASSIUM; PROPYLENE; QUERCETIN; ROXARSONE; SODIUM; STYRENE; SULFATE; SULFOXIDE; THIOUREA DERIVATIVE; TOLUENE; UNCLASSIFIED DRUG; UNINDEXED DRUG;

CARCINOGENICITY; CHEMICAL STRUCTURE; COMPUTER PROGRAM; DATA BASE; FEMALE; HUMAN; INTERNET; LIVER CANCER; LIVER CARCINOGENESIS; MALE; MOLECULAR MODEL; MOUSE; NONHUMAN; PRIORITY JOURNAL; RAT; REVIEW; SENSITIVITY AND SPECIFICITY; STRUCTURE ACTIVITY RELATION;

ANIMALS; CARCINOGENS; DATA COMPRESSION; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; DISCRIMINANT ANALYSIS; DRUG APPROVAL; DRUG EVALUATION, PRECLINICAL; HUMANS; INTERNET; LIVER; MODELS, CHEMICAL; MOLECULAR STRUCTURE; MOLECULAR WEIGHT; ORGAN SPECIFICITY; PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY; STRUCTURE-ACTIVITY RELATIONSHIP; TOXICITY TESTS; TOXICOLOGY; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

ANIMALIA;

EID: 2942705206     PISSN: 15287394     EISSN: None     Source Type: Journal    
DOI: 10.1080/15287390490471479     Document Type: Review

References (16)

1. 13C NMR and El mass spectrometric data to produce a predictive model of estrogen receptor binding. Toxicol. Appl. Pharmacol. 169:17-25.
2. Contrera, J. F., Jacobs, A. C., and DeGeorge, J. J. 1997. Carcinogenicity testing and the evaluation of regulatory requirements for pharmaceuticals. Regul. Toxicol. Pharmacol. 25:130-145.
3. Enslein, K., Gombar, V. K., and Blake, B. W. 1994. Use of SAR in computer-assisted prediction of carcinogenicity and mutagenicity of chemicals by the TOPKAT program. Mutat. Res. 305:47-61.
4. Gold, L. S., and Slone, T. H. 1993. Prediction of carcinogenicity from two versus four sex-species groups in the carcinogenic potency database. J. Toxicol. Environ. Health 39:143-157.
5. Gold, L. S., and Zeiger, E., eds. 1997. Handbook of carcinogenic potency and genotoxicity databases, pp. 694-724. New York, CRC Press.
6. Gold, L. S., Sawyer, C. B., Magaw, R., Backman, G. M., de Veciana, M., Levinson, R., Hooper, N. K., Havender, W. R., Bernstein, L., Peto, R., Pike, M. C., and Ames, B. N. 1984. A carcinogenic potency database of the standardized results of animal bioassays. Environ. Health Perspect. 58:9-319.
7. Gold, L. S., Slone, T. H., Manley, N. B., Garfinkel, G. B., Hudes, E. S., Rohrbach, L., and Ames, B. N. 1991. The Carcinogenic Potency Database: Analyses of 4000 chronic animal cancer experiments published in the general literature and by the U.S. National Cancer Institute/National Toxicology Program. Environ. Health Perspect. 96:11-15.
8. Gold, L. S., Slone, T. H., and Ames, B. N. 1998. What do animal cancer tests tell us about human cancer risk?: Overview of analyses of the carcinogenic potency database. Drug Metab. Rev. 30:359-404.
9. Gold, L. S., Manley, N. B., Slone, T. H., and Ward, J. M. 2001. Compendium of chemical carcinogens by target organ: Results of chronic bioassays in rats, mice, hamsters, dogs, and monkeys. Toxicol. Pathol. 29:639-652.
10. Gottmann, E., Kramer, S., Pfahringer, B., and Helma, C. 2001. Data quality in predictive toxicology: Reproducibility of rodent carcinogenicity experiments. Environ. Health Perspect. 109:509-514.
11. Hashemi, R., Pearce, B., Arani, R., Hinson, W., and Paule, M. 1997. A fusion of rough sets, modified rough sets, and genetic algorithms for hybrid diagnostic systems. In Rough sets and data mining: Analysis of imprecise data, eds. T. Y Lin and N. Cercone, pp. 149-176. New York: Kluvver Academic.
12. Helma, C., Kramer, S., Pfahringer, B., and Gottmann, E. 2000. Data quality in predictive toxicology: Identification of chemical structures and calculation of chemical properties. Environ. Health Perspect. 108:1029-1033.
13. Matthews, E. J., Benz, R. D., and Contrera, J. F. 2000. Use of toxicological information in drug design. J. Mol. Graph. Model 18:605-614.
14. 13C NMR spectra. Environ. Toxicol. Chem. 22: 501-509.
15. Vapnik, V. 1998. Statistical learning theory. New York: John Wiley & Sons.
16. Young, J. F., Tong, W., Fang, H., Beger, R. D., Chen, J. J., Cheeseman, M. A., and Kodell, R. L. 2001. Computational predictive system for rodent organ-specific carcinogenicity. Comput. Intell. Methods Appl. 2001:565-569.