Literature DB >> 12924568

Guidelines for developing and using quantitative structure-activity relationships.

John D Walker1, Joanna Jaworska, Mike H I Comber, T Wayne Schultz, John C Dearden.   

Abstract

Numerous quantitative structure-activity relationships (QSARs) have been developed to predict properties, fate, and effects of mostly discrete organic chemicals. As the demand for different types of regulatory testing increases and the cost of experimental testing escalates, there is a need to evaluate the use of QSARs and provide some guidance to avoid their misuse, especially as QSARs are being considered for regulatory purposes. This paper provides some guidelines that will promote the proper development and use of QSARs. While this paper uses examples of QSARs to predict toxicity, the proposed guidelines are applicable to QSARs used to predict physical or chemical properties, environmental fate, ecological effects and health effects.

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Year:  2003        PMID: 12924568     DOI: 10.1897/01-627

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  11 in total

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3.  Toxicity testing in the 21st century: a vision and a strategy.

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Journal:  J Toxicol Environ Health B Crit Rev       Date:  2010-02       Impact factor: 6.393

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6.  Development of a pharmacophore for cruzain using oxadiazoles as virtual molecular probes: quantitative structure-activity relationship studies.

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7.  QSAR: dead or alive?

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 4.179

8.  Quantitative Structure-Antioxidant Activity Models of Isoflavonoids: A Theoretical Study.

Authors:  Gloria Castellano; Francisco Torrens
Journal:  Int J Mol Sci       Date:  2015-06-08       Impact factor: 5.923

9.  Structure based comprehensive modelling, spatial fingerprints mapping and ADME screening of curcumin analogues as novel ALR2 inhibitors.

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10.  Developing Predictive Models for Carrying Ability of Micro-Plastics towards Organic Pollutants.

Authors:  Xiaoxuan Wei; Miao Li; Yifei Wang; Lingmin Jin; Guangcai Ma; Haiying Yu
Journal:  Molecules       Date:  2019-05-08       Impact factor: 4.411

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