SAR Studies to Assess the Risk of Breast Cancer Due to Environmental Estrogens

Abstract

Environmental estrogens have been implicated as etiological agents for breast cancer. This study 15 aimed at identifying mechanistic information regarding the estrogenicity and carcinogenicity of environmental estrogens through structure-activity relationship(SAR) and quantitative SAR (QSAR) modeling. To facilitate this investigation, the computer-based expert-system MULTICASE is used in addition to other molecular modeling techniques. Learning sets have been derived from bioassays designed to detect estrogenic chemicals. These databases include an in vitro estrogen competitive binding assay, an in vitro NCF-7 cell proliferation assay and a whole animal uterine weight increase assay (currently being derived). The SAIL and QSAR models derived from these databases are considered in conjuction with preexisting SAIL and QSAR models for rodent carcinogenicity as well as for other toxicological phenomena to identify features that are common to estrogenicity and carcinogenicity.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA373974

Entities

People

  • Albert R. Cunningham

Organizations

  • University of Pittsburgh

Tags

DTIC Thesaurus Topics

  • Animals
  • Assays
  • Bioassay
  • Biological Phenomena
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cells
  • Computers
  • Databases
  • Estrogens
  • Expert Systems
  • Health
  • Learning
  • Materials
  • Neoplasms
  • Tumor Cell Line

Fields of Study

  • Biology

Readers

  • Breast cancer cell signaling and growth regulation.
  • Environmental Engineering.
  • Molecular and Cellular Biochemistry