1995
DOI: 10.2307/3432862
|View full text |Cite
|
Sign up to set email alerts
|

Using Three-Dimensional Quantitative Structure-Activity Relationships to Examine Estrogen Receptor Binding Affinities of Polychlorinated Hydroxybiphenyls

Abstract: Certain phenyl-substituted hyd ns of environmental concen have the potential to disrupt the endocrine system of animals, apparently in association with their estrogenic properties. Competition with natural estrogens for the estrogen receptor isaa possible mechanism by which such effects could occur. We used comp molecular field analysis (CoMFA), a three-dimensional quantitative structure-activity relationship (QSAR) (11).In addition to the PCB family of chemicals, other phenyl-substituted hydrocarbons such … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
26
0

Year Published

1996
1996
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 29 publications
(26 citation statements)
references
References 20 publications
0
26
0
Order By: Relevance
“…We selected 53 estrogenic compounds from von Angerer's database as the training set to determine the steric and electrostatic requirements for recognition at the ER binding site. In most previous CoMFA studies of ER binding (27)(28)(29)(30)(31), the data sets either consisted of congeneric compounds or were not of good quality, which limited the general applicability of these models to serve as screens for potential estrogens. In the present study, several naturally occurring and synthetic estrogens ( Fig.…”
Section: Methodsmentioning
confidence: 99%
“…We selected 53 estrogenic compounds from von Angerer's database as the training set to determine the steric and electrostatic requirements for recognition at the ER binding site. In most previous CoMFA studies of ER binding (27)(28)(29)(30)(31), the data sets either consisted of congeneric compounds or were not of good quality, which limited the general applicability of these models to serve as screens for potential estrogens. In the present study, several naturally occurring and synthetic estrogens ( Fig.…”
Section: Methodsmentioning
confidence: 99%
“…belonging to the same congeneric class) while focusing on the selectivity of inhibitors against the two ER isoforms via classical QSAR [30][31][32] and 3D-QSAR. 33,34 However, there were only a few studies reporting the use of large data set for the QSAR modeling of ER inhibitors. Among this are the work of Gao et al 35 whose data set consisted of 463 compounds, the work of Mekenyan et al 36 reporting a data set size of 151 compounds and the work by Fang et al 37 on a set of 230 compounds.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, while it would be unwise to seek or to rely upon simple global structural fragments empirically associated with estrogenic activity, detailed and model-based SAR and quantitative SAR should prove invaluable within structurally coherent series of chemicals. The latter is elegantly illustrated by the resolving power and differential specificity of the quantitative SAR study of estrogenic chlorohydroxybiphenyls recently reported by Waller et al (9). The guiding principles of predictive SAR developed for carcinogenesis/mutagenesis have been definitively reviewed by Richard (11), and most of those principles and warnings will apply equally to the study of estrogenic/hormonedisrupting chemicals.…”
mentioning
confidence: 99%