Arguments for considering Uncertainty in QSAR Predictions in Hazard and Risk Assessments-Reference-Cited by-同舟云学术

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Arguments for considering Uncertainty in QSAR Predictions in Hazard and Risk Assessments

Published:2013-03 Issue:1 Volume:41 Page:91-110
ISSN:0261-1929
Container-title:Alternatives to Laboratory Animals
language:en
Short-container-title:Alternatives to Laboratory Animals

Author:

Sahlin Ullrika¹²,Golsteijn Laura³,Iqbal M. Sarfraz¹,Peijnenburg Willie⁴⁵

Affiliation:

1. Linnaeus University, School of Natural Sciences, Kalmar, Sweden

2. Lund University, Centre of Environmental and Climate Research, Lund, Sweden

3. Radboud University Nijmegen, Institute for Water and Wetland Research, Department of Environmental Science, Nijmegen, The Netherlands

4. RIVM, Laboratory for Ecological Risk Assessment, Bilthoven, The Netherlands

5. Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands

Publisher

SAGE Publications

Subject

Medical Laboratory Technology,Toxicology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/026119291304100110

Reference18 articles.

1. Integrated testing and intelligent assessment—new challenges under REACH

2. Use of QSARs in international decision-making frameworks to predict ecologic effects and environmental fate of chemical substances.

3. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.

4. Improving Opportunities for Regulatory Acceptance of QSARs: The Importance of Model Domain, Uncertainty, Validity and Predictability

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Randomness and time-varying characteristics of chloride ion transport in existing harbor concrete structures;Construction and Building Materials;2024-01

2. Identification and description of the uncertainty, variability, bias and influence in quantitative structure-activity relationships (QSARs) for toxicity prediction;Regulatory Toxicology and Pharmacology;2019-08

3. Intermolecular interactions of substituted benzenes on multi-walled carbon nanotubes grafted on HPLC silica microspheres and interaction study through artificial neural networks;Arabian Journal of Chemistry;2019-05

4. Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology;Food and Chemical Toxicology;2018-02

5. Assessment of uncertainty in chemical models by Bayesian probabilities: Why, when, how?;Journal of Computer-Aided Molecular Design;2014-12-10

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