Literature DB >> 23238824

Preliminary studies on model development for rodent toxicity and its interspecies correlation with aquatic toxicities of pharmaceuticals.

Rudra Narayan Das1, Hans Sanderson, Andrew E Mwambo, Kunal Roy.   

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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Year:  2012        PMID: 23238824     DOI: 10.1007/s00128-012-0921-3

Source DB:  PubMed          Journal:  Bull Environ Contam Toxicol        ISSN: 0007-4861            Impact factor:   2.151


  3 in total

1.  In Silico Models for Ecotoxicity of Pharmaceuticals.

Authors:  Kunal Roy; Supratik Kar
Journal:  Methods Mol Biol       Date:  2016

2.  Species sensitivity distributions for use in environmental protection, assessment, and management of aquatic ecosystems for 12 386 chemicals.

Authors:  Leo Posthuma; Jos van Gils; Michiel C Zijp; Dik van de Meent; Dick de Zwart
Journal:  Environ Toxicol Chem       Date:  2019-04       Impact factor: 3.742

Review 3.  Impact of Pharmaceuticals on the Environment: Risk Assessment Using QSAR Modeling Approach.

Authors:  Supratik Kar; Kunal Roy; Jerzy Leszczynski
Journal:  Methods Mol Biol       Date:  2018
  3 in total

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