Literature DB >> 12896859

Summary of a workshop on regulatory acceptance of (Q)SARs for human health and environmental endpoints.

Joanna S Jaworska1, M Comber, C Auer, C J Van Leeuwen.   

Abstract

The "Workshop on Regulatory Use of (Q)SARs for Human Health and Environmental Endpoints," organized by the European Chemical Industry Council and the International Council of Chemical Associations, gathered more than 60 human health and environmental experts from industry, academia, and regulatory agencies from around the world. They agreed, especially industry and regulatory authorities, that the workshop initiated great potential for the further development and use of predictive models, that is, quantitative structure-activity relationships [(Q)SARs], for chemicals management in a much broader scope than is currently the case. To increase confidence in (Q)SAR predictions and minimization of their misuse, the workshop aimed to develop proposals for guidance and acceptability criteria. The workshop also described the broad outline of a system that would apply that guidance and acceptability criteria to a (Q)SAR when used for chemical management purposes, including priority setting, risk assessment, and classification and labeling.

Entities:  

Mesh:

Year:  2003        PMID: 12896859      PMCID: PMC1241619          DOI: 10.1289/ehp.5757

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  3 in total

Review 1.  Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.

Authors:  Mark T D Cronin; Joanna S Jaworska; John D Walker; Michael H I Comber; Christopher D Watts; Andrew P Worth
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

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

Authors:  Mark T D Cronin; John D Walker; Joanna S Jaworska; Michael H I Comber; Christopher D Watts; Andrew P Worth
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

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

Authors:  Lennart Eriksson; Joanna Jaworska; Andrew P Worth; Mark T D Cronin; Robert M McDowell; Paola Gramatica
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

  3 in total
  12 in total

1.  Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database.

Authors:  Huong Le-Thi-Thu; Gerardo M Casañola-Martín; Yovani Marrero-Ponce; Antonio Rescigno; Luciano Saso; Virinder S Parmar; Francisco Torrens; Concepción Abad
Journal:  Mol Divers       Date:  2010-09-03       Impact factor: 2.943

2.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

3.  Prediction of Cytochrome P450 Profiles of Environmental Chemicals with QSAR Models Built from Drug-like Molecules.

Authors:  Hongmao Sun; Henrike Veith; Menghang Xia; Christopher P Austin; Raymond R Tice; Ruili Huang
Journal:  Mol Inform       Date:  2012-10-11       Impact factor: 3.353

4.  Data governance in predictive toxicology: A review.

Authors:  Xin Fu; Anna Wojak; Daniel Neagu; Mick Ridley; Kim Travis
Journal:  J Cheminform       Date:  2011-07-13       Impact factor: 5.514

5.  Extrapolation of toxic indices among test objects.

Authors:  Miloň Tichý; Marián Rucki; Zdeněk Roth; Iveta Hanzlíková; Alena Vlková; Jana Tumová; Rút Uzlová
Journal:  Interdiscip Toxicol       Date:  2010-12

6.  An ensemble model of QSAR tools for regulatory risk assessment.

Authors:  Prachi Pradeep; Richard J Povinelli; Shannon White; Stephen J Merrill
Journal:  J Cheminform       Date:  2016-09-22       Impact factor: 5.514

Review 7.  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

8.  Prediction of skin sensitization with a particle swarm optimized support vector machine.

Authors:  Hua Yuan; Jianping Huang; Chenzhong Cao
Journal:  Int J Mol Sci       Date:  2009-07-17       Impact factor: 6.208

9.  Using Pareto points for model identification in predictive toxicology.

Authors:  Anna Palczewska; Daniel Neagu; Mick Ridley
Journal:  J Cheminform       Date:  2013-03-22       Impact factor: 5.514

10.  Prediction of acute mammalian toxicity using QSAR methods: a case study of sulfur mustard and its breakdown products.

Authors:  Patricia Ruiz; Gino Begluitti; Terry Tincher; John Wheeler; Moiz Mumtaz
Journal:  Molecules       Date:  2012-07-27       Impact factor: 4.411

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