Abstract
Environmental toxicity due to pharmaceuticals has been an issue of serious concern for long time. Development of chemometric models with reliable predictive power has been considered as an effective tool for the design of new drug agents with reduced or without ecotoxic potential. Considering a higher degree of similarity in genetic homology towards drug receptor with mammals, we have used a dataset of 194 compounds with reported rodent, fish, daphnia and algae toxicity data for extrapolation of their toxicity towards humans. Allowing for rodents as the most surrogate to human physiology, attempts have also been made to develop interspecies correlation models keeping rodent toxicity as dependent variable so that any drug without reported rodent toxicity can be predicted using fish, daphnia or algae toxicity data which can be consequently extrapolated to human toxicity. The developed models have been subjected to multiple validation strategies. Acceptable results have been obtained in both cases of direct and interspecies extrapolation quantitative structure–activity relationship models.
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The Council of Scientific and Industrial Research (CSIR), New Delhi is thankfully acknowledged for a fellowship to RND.
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Das, R.N., Sanderson, H., Mwambo, A.E. et al. Preliminary Studies on Model Development for Rodent Toxicity and Its Interspecies Correlation with Aquatic Toxicities of Pharmaceuticals. Bull Environ Contam Toxicol 90, 375–381 (2013). https://doi.org/10.1007/s00128-012-0921-3
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DOI: https://doi.org/10.1007/s00128-012-0921-3