Title: Review of Literature-Based Quantitative Structure-Activity Relationship Models for Bioconcentration
Authors: PAVAN MANUELANETZEVA TATIANAWORTH ANDREW
Citation: QSAR & COMBINATORIAL SCIENCE vol. 27 no. 1 p. 21-31
Publisher: WILEY-V C H VERLAG GMBH
Publication Year: 2008
JRC N°: JRC37940
ISSN: 1611-020X
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC37940
DOI: 10.1002/qsar.200710102
Type: Articles in Journals
Abstract: This paper reviews the state-of-the-art of in silico methods for assessing the tendency of a substance to bioconcentrate in aquatic organisms usually expressed as its bioconcentration factor (BCF). It is based on an in-depth review performed by the European Chemicals Bureau in support of the development of technical guidance for the implementation of the REACH legislation, and is one of a series of mini-reviews in this journal. The most widely used in silico approaches to estimate BCF are described, with emphasis on literature-based (Q)SAR models: 1) linear relationships that correlate BCF with octanol/water partition coefficient; 2) (Q)SAR models based on experimentally derived descriptors; and 3) new (Q)SAR models aimed to evaluate the potential of other descriptors. Recommendations for further research are also provided.
JRC Institute:Institute for Health and Consumer Protection

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