QSAR Models Using a Large Diverse Set of Estrogens
Author:
Affiliation:
1. R.O.W. Sciences, Inc., Jefferson, Arkansas 72079, and Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research (NCTR), Jefferson, Arkansas 72079
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci000066d
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