The reach and impact of social marketing and reproductive health communication campaigns in Zambia
Van Rossem, R.; Meekers, D.
Bmc Public Health 7: 352
2007
ISSN/ISBN: 1471-2458 PMID: 18088437 DOI: 10.1186/1471-2458-7-352Document Number: 236617
The computational approaches used to predict toxicity are evolving rapidly, a process hastened on by the emergence of new ways of describing chemical information. Although this trend offers many opportunities, new regulations, such as the European Community's 'Registration, Evaluation, Authorization and Restriction of Chemicals' (REACH), demand that models be ever more robust. In this commentary, we outline the numerous factors involved in the evolution of quantitative structure-regulatory activity relationship (QSAR) models. Such models not only require powerful tools, but must also be adapted for their intended application, such as in using suitable input values and having an output that complies with legal requirements. In addition, transparency and model reproducibility are important factors. As more models become available, it is vital that new theoretical possibilities are embraced, and efforts are combined in order to promote new flexible, modular tools.