lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Arguments for considering uncertainty in QSAR predictions in hazard and risk assessments
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science.
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science.
2013 (English)In: ATLA (Alternatives to Laboratory Animals), ISSN 0261-1929, Vol. 41, no 1, 91-110 p.Article in journal (Refereed) Published
Abstract [en]

Chemical regulation allows non-in vivo testing (i.e. in silico-derived and in vitro-derived) information to replace experimental values from in vivo studies in hazard and risk assessments. Although non-in vitro testing information on chemical activities or properties is subject to added uncertainty as compared to in vivo testing information, this uncertainty is commonly not (fully) taken into account. Considering uncertainty in predictions from quantitative structure-activity relationships (QSARs), which are a form of non-in vivo testing information, may improve the way that QSARs support chemical safety assessment under the EU Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) system. We argue that it is useful to consider uncertainty in QSAR predictions, as it: a) supports rational decision-making; b) facilitates cautious risk management; c) informs uncertainty analysis in probabilistic risk assessment; d) may aid the evaluation of QSAR predictions in weight-of-evidence approaches; and e) provides a probabilistic model to verify the experimental data used in risk assessment. The discussion is illustrated by using case studies of QSAR integrated hazard and risk assessment from the EU-financed CADASTER project.

Place, publisher, year, edition, pages
2013. Vol. 41, no 1, 91-110 p.
National Category
Biological Sciences
Research subject
Natural Science, Environmental Science
Identifiers
URN: urn:nbn:se:lnu:diva-27735ISI: 000330896200028PubMedID: 23614547Scopus ID: 2-s2.0-84877120272OAI: oai:DiVA.org:lnu-27735DiVA: diva2:638774
Available from: 2013-08-02 Created: 2013-08-02 Last updated: 2017-05-08Bibliographically approved

Open Access in DiVA

No full text

PubMedScopus

Authority records BETA

Sahlin, UllrikaIqbal, Muhammad Sarfraz

Search in DiVA

By author/editor
Sahlin, UllrikaIqbal, Muhammad Sarfraz
By organisation
Department of Biology and Environmental Science
In the same journal
ATLA (Alternatives to Laboratory Animals)
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar

pubmed
urn-nbn

Altmetric score

pubmed
urn-nbn
Total: 22 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf