Literature DB >> 15669693

The prospects for using (Q)SARs in a changing political environment--high expectations and a key role for the European Commission's joint research centre.

A P Worth1, C J Van Leeuwen, T Hartung.   

Abstract

Recent policy developments in the European union (EU) and within the Organisation for Economic Cooperation and Development (OECD) have placed increased emphasis on the use of structure-activity relationships (SARs) and quantitative structure-activity relationships (QSARs), collectively referred to as (Q)SARs, within various regulatory programmes for the assessment of chemicals and products. The most significant example within the EU is the European commission's proposal (of 29 October 2003) to introduce a new system for managing chemicals (called REACH), which calls for an increased use of (Q)SARs and other non-animal methods, especially for the assessment of low production volume chemicals. Another development within the EU is the Seventh Amendment to the Cosmetics Directive, which foresees the phasing out of animal testing on cosmetics, combined with the imposition of marketing bans on cosmetics that have been tested on animals after certain deadlines. At the same time, the Existing Chemicals programme within the OECD is investigating ways of increasing the use of chemical category approaches, which depend heavily on the use of (Q)SARs, activity-activity relationships and read-across. Such developments are placing an enormous challenge on industry, regulatory bodies, and on the European commission's Joint Research Centre (JRC), which is responsible for providing independent scientific advice to policy makers in the European Commission and the Member States. This paper reviews the different scientific and regulatory purposes for which reliable (Q)SARs could be used, and describes the current work of the JRC in providing scientific support for the development, validation and implementation of (Q)SARs.

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Year:  2004        PMID: 15669693     DOI: 10.1080/10629360412331297371

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  4 in total

1.  Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions.

Authors:  Faizan Sahigara; Davide Ballabio; Roberto Todeschini; Viviana Consonni
Journal:  J Cheminform       Date:  2013-05-30       Impact factor: 5.514

2.  QSAR DataBank repository: open and linked qualitative and quantitative structure-activity relationship models.

Authors:  V Ruusmann; S Sild; U Maran
Journal:  J Cheminform       Date:  2015-06-25       Impact factor: 5.514

3.  Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking.

Authors:  Jiawen Yang; Wenwen Gu; Yu Li
Journal:  Biosci Rep       Date:  2019-05-17       Impact factor: 3.840

4.  Structure-Activity Relationship (SAR) and in vitro Predictions of Mutagenic and Carcinogenic Activities of Ixodicidal Ethyl-Carbamates.

Authors:  María G Prado-Ochoa; Maribel Strassburger-Madrigal; Rafael Camacho-Carranza; Jesús J Espinosa-Aguirre; Ana M Velázquez-Sánchez; Victor H Vázquez-Valadez; Enrique Angeles; Fernando Alba-Hurtado; Marco A Muñoz-Guzmán
Journal:  Biomed Res Int       Date:  2020-11-21       Impact factor: 3.411

  4 in total

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