Literature DB >> 16644554

A combined QSAR and partial order ranking approach to risk assessment.

L Carlsen1.   

Abstract

QSAR generated data appear as an attractive alternative to experimental data as foreseen in the proposed new chemicals legislation REACH. A preliminary risk assessment for the aquatic environment can be based on few factors, i.e. the octanol-water partition coefficient (Kow), the vapour pressure (VP) and the potential biodegradability of the compound in combination with the predicted no-effect concentration (PNEC) and the actual tonnage in which the substance is produced. Application of partial order ranking, allowing simultaneous inclusion of several parameters leads to a mutual prioritisation of the investigated substances, the prioritisation possibly being further analysed through the concept of linear extensions and average ranks. The ranking uses endpoint values (log Kow and log VP) derived from strictly linear 'noise-deficient' QSAR models as input parameters. Biodegradation estimates were adopted from the BioWin module of the EPI Suite. The population growth impairment of Tetrahymena pyriformis was used as a surrogate for fish lethality.

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Year:  2006        PMID: 16644554     DOI: 10.1080/10659360600636196

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


  2 in total

1.  Chlorophenol sorption on multi-walled carbon nanotubes: DFT modeling and structure-property relationship analysis.

Authors:  Marquita Watkins; Natalia Sizochenko; Quentarius Moore; Marek Golebiowski; Danuta Leszczynska; Jerzy Leszczynski
Journal:  J Mol Model       Date:  2017-01-24       Impact factor: 1.810

Review 2.  The interplay between QSAR/QSPR studies and partial order ranking and formal concept analyses.

Authors:  Lars Carlsen
Journal:  Int J Mol Sci       Date:  2009-04-17       Impact factor: 6.208

  2 in total

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