Modeling the toxicity of chemical pesticides in multiple test species using local and global QSTR approaches.

ABSTRACT: The safety assessment processes require the toxicity data of chemicals in multiple test species and thus, emphasize the need for computational methods capable of toxicity prediction in multiple test species. Pesticides are designed toxic substances and find extensive applications worldwide. In this study, we have established local and global QSTR (quantitative structure-toxicity relationship) and ISC QSAAR (interspecies correlation quantitative structure activity-activity relationship) models for predicting the toxicities of pesticides in multiple aquatic test species using the toxicity data in crustacean (Daphnia magna, Americamysis bahia, Gammarus fasciatus, and Penaeus duorarum) and fish (Oncorhynchus mykiss and Lepomis macrochirus) species in a

SUBMITTER: Basant N 

PROVIDER: S-EPMC6060685 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature