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

Exploring QSAR modeling of toxicity of chemicals on earthworm.

Photo from archive.org

Earthworm provides sustainability towards the agroecosystem which can be degraded day by day by the extensive use of pesticides (e.g., fungicides, insecticides and herbicides). The present study attempts to develop… Click to show full abstract

Earthworm provides sustainability towards the agroecosystem which can be degraded day by day by the extensive use of pesticides (e.g., fungicides, insecticides and herbicides). The present study attempts to develop a predictive quantitative structure-activity relationship (QSAR) model for toxicity of pesticides to earthworm in order to give a suitable guidance for designing new analogues with lower toxicity by exploring the important chemical features which are required to develop safer alternatives. The QSAR model was developed by using the negative logarithm of lethal concentration (pLC50) values of pesticides towards earthworm. We have used various 2D descriptors along with extended topochemical atom (ETA) indices as independent variables for the development of the model. The developed partial least squares (PLS) model was subjected to statistical validation tests proving that the model is statistically reliable and robust (R2 = 0.765, Q2 = 0.614, Q2F1 = 0.734, Q2F2 = 0.713). The contributing descriptors in the model suggested that the pesticides may affect the earthworm nucleic acid through various physicochemical interactions including hydrophobicity, hydrogen bonding, electron donor acceptor complex formation, π-π stacking interaction and charge transfer complex formation.

Keywords: exploring qsar; toxicity chemicals; qsar modeling; toxicity; model; modeling toxicity

Journal Title: Ecotoxicology and environmental safety
Year Published: 2019

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.