Premium
Guidelines for developing and using quantitative structure‐activity relationships
Author(s) -
Walker John D.,
Jaworska Joanna,
Comber Mike H. I.,
Schultz T. Wayne,
Dearden John C.
Publication year - 2003
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1897/01-627
Subject(s) - biochemical engineering , quantitative structure–activity relationship , computer science , risk analysis (engineering) , business , machine learning , engineering
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.