Hewitt, M.; Madden, J.C.; Rowe, P.H.; Cronin, M.T.D. Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. SAR QSAR Environ. Res. 2007, 18, 57-76.

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Hewitt, M.; Madden, J.C.; Rowe, P.H.; Cronin, M.T.D. Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. SAR QSAR Environ. Res. 2007, 18, 57-76.

QDB archive DOI: 10.15152/QDB.260   DOWNLOAD

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Property CI: Clearance Index

Eq.3: QSAR model to predict placental transfer

Regression model (regression)

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  • Belfield, S. Data for: Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. QsarDB repository, QDB.260. 2024. https://doi.org/10.15152/QDB.260

  • Hewitt, M.; Madden, J. C.; Rowe, P. H.; Cronin, M. T. D. Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. SAR QSAR Environ. Res. 2007, 18, 57-76. https://doi.org/10.1080/10629360601053893

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Title: Hewitt, M.; Madden, J.C.; Rowe, P.H.; Cronin, M.T.D. Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. SAR QSAR Environ. Res. 2007, 18, 57-76.
Abstract:The replacement of animal testing for endpoints such as reproductive toxicity is a long-term goal. This study describes the possibilities of using simple (quantitative) structure-activity relationships ((Q)SARs) to predict whether a molecule may cross the placental membrane. The concept is straightforward, if a molecule is not able to cross the placental barrier, then it will not be a reproductive toxicant. Such a model could be placed at the start of any integrated testing strategy. To develop these models the literature was reviewed to obtain data relating to the transfer of molecules across the placenta. A reasonable number of data were obtained and are suitable for the modelling of the ability of a molecule to cross the placenta. Clearance or transfer indices data were sought due to their ability to eliminate inter-placental variation by standardising drug clearance to the reference compound antipyrine. Modelling of the permeability data indicates that (Q)SARs with reasonable statistical fit can be developed for the ability of molecules to cross the placental barrier membrane. Analysis of the models indicates that molecular size, hydrophobicity and hydrogen-bonding ability are molecular properties that may govern the ability of a molecule to cross the placental barrier.
URI:http://hdl.handle.net/10967/260
http://dx.doi.org/10.15152/QDB.260
Date:2024-03-07


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