Alert-QSAR. Implications for Electrophilic Theory of Chemical Carcinogenesis-Reference-Cited by-同舟云学术

Alert-QSAR. Implications for Electrophilic Theory of Chemical Carcinogenesis

Published:2011-08-11 Issue:8 Volume:12 Page:5098-5134
ISSN:1422-0067
Container-title:International Journal of Molecular Sciences
language:en
Short-container-title:IJMS

Author:

Putz Mihai V.,Ionaşcu Cosmin,Putz Ana-Maria,Ostafe Vasile

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Link

http://www.mdpi.com/1422-0067/12/8/5098/pdf

Reference56 articles.

1. Experimental study of the pathogenesis of carcinoma;Yamagiwa;J. Cancer Res.,1918

2. Uber die serienweise verfolgung der veranderungen der leber der experimentellen hepatomerzeugung durch O-Aminoazotoluol;Yoshida;Trans. Jpn. Pathol. Soc.,1933

3. Experimental production of bladder tumors in dogs by administration of beta-naphthylamine;Hueper;J. Ind. Hyg. Toxicol.,1938

4. Sir Ernest Laurence Kennaway FRS, 1881–1958: Chemical causation of cancer then and today;Haddow;Perspect. Biol. Med.,1974

5. Ultimate chemical carcinogens as reactive mutagenic electrophiles;Miller,1977

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