Can toxicity for different species be correlated? The concept and emerging applications of interspecies quantitative structure-toxicity relationship (i-QSTR) modeling

Supratik Kar, Kunal Roy, Rudra Narayan Das, Jerzy Leszczynski

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Experimental evaluation of the toxicity of a compound is an expensive practice, and it requires sacrifice of a large number of animals. As a consequence, in silico techniques for predictive toxicology are taking the central stage of attention of the scientific community. Interspecies quantitative structure-toxicity relationship (i-QSTR) modeling provides a tool for estimation of contaminant's sensitivity with known levels of uncertainty for a diverse pool of species. It is capable of extrapolating data for one toxicity endpoint to another toxicity endpoint when the data for the second species are unavailable. The emerging i-QSTR approach can overcome the cost of multiple toxicity tests, improve the understanding of the mechanism of toxic action (MOA) of chemicals for different organisms and endpoints and is very useful in order to fill the data gaps where toxicity value for a particular compound is absent for a specific endpoint.

Original languageEnglish
Title of host publicationAgri-Food Supply Chain Management
Subtitle of host publicationBreakthroughs in Research and Practice
PublisherIGI Global
Pages339-371
Number of pages33
ISBN (Electronic)9781522516309
ISBN (Print)1522516298, 9781522516293
DOIs
StatePublished - 27 Sep 2016

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