Literature DB >> 21999104

Simulation of chemical metabolism for fate and hazard assessment. I: approach for simulating metabolism.

S Dimitrov1, T Pavlov, G Veith, O Mekenyan.   

Abstract

Information regarding the metabolism of xenobiotic chemicals plays a central role in regulatory risk assessments. In regulatory programmes where metabolism studies are required, the studies of metabolic pathways are often incomplete and the identification of activated metabolites and important degradation products are limited by analytical methods. Because so many more new chemicals are being produced than can be assessed for potential hazards, setting assessment priorities among the thousands of untested chemicals requires methods for predictive hazard identification which can be derived directly from chemical structure and their likely metabolites. In a series of papers we are sharing our experience in the computerized management of metabolic data and the development of simulators of metabolism for predicting the environmental fate and (eco)toxicity of chemicals. The first paper of the series presents a knowledge-based formalism for the computer simulation of non-intermediary metabolism for untested chemicals, with an emphasis on qualitative and quantitative aspects of modelling metabolism.

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Year:  2011        PMID: 21999104     DOI: 10.1080/1062936X.2011.623323

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  2 in total

1.  Integrated Framework for Identifying Toxic Transformation Products in Complex Environmental Mixtures.

Authors:  Leah Chibwe; Ivan A Titaley; Eunha Hoh; Staci L Massey Simonich
Journal:  Environ Sci Technol Lett       Date:  2017-01-04

2.  Evaluating the ready biodegradability of two poorly water-soluble substances: comparative approach of bioavailability improvement methods (BIMs).

Authors:  Cyril Sweetlove; Jean-Charles Chenèble; Yves Barthel; Marc Boualam; Jacques L'Haridon; Gérald Thouand
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-28       Impact factor: 4.223

  2 in total

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