LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Development and Validation of Predictive Quantitative Structure–Activity Relationship Models for Estrogenic Activities of Hydroxylated Polychlorinated Biphenyls

Photo from wikipedia

Disruption of the endocrine system by hydroxylated polychlorinated biphenyls (OH‐PCBs) is hypothesized, among other potential mechanisms, to be mediated via nuclear receptor binding. Due to the high cost and lengthy… Click to show full abstract

Disruption of the endocrine system by hydroxylated polychlorinated biphenyls (OH‐PCBs) is hypothesized, among other potential mechanisms, to be mediated via nuclear receptor binding. Due to the high cost and lengthy time required to produce high‐quality experimental data, empirical data to support the nuclear receptor binding hypothesis are in short supply. In the present study, two quantitative structure–activity relationship models were developed for predicting the estrogenic activities of OH‐PCBs. Findings revealed that model I (for the estrogen receptor α dataset) contained five two‐dimensional (2D) descriptors belonging to the classes autocorrelation, Burden modified eigenvalues, chi path, and atom type electrotopological state, whereas model II (for the estrogen receptor β dataset) contained three 2D and three 3D descriptors belonging to the classes autocorrelation, atom type electrotopological state, and Radial Distribution Function descriptors. The internal and external validation metrics reported for models I and II indicate that both models are robust, reliable, and suitable for predicting the estrogenic activities of untested OH‐PCB congeners. Environ Toxicol Chem 2023;42:823–834. © 2023 SETAC

Keywords: structure activity; quantitative structure; polychlorinated biphenyls; hydroxylated polychlorinated; activity relationship; estrogenic activities

Journal Title: Environmental Toxicology and Chemistry
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.