| Literature DB >> 27218604 |
Paola Gramatica1, Alessandro Sangion1.
Abstract
In the last years, external validation of QSAR models was the subject of intensive debate in the scientific literature. Different groups have proposed different metrics to find "the best" parameter to characterize the external predictivity of a QSAR model. This editorial summarizes the history of parameter development for the external QSAR model validation and suggests, once again, the concurrent use of several different metrics to assess the real predictive capability of QSAR models.Mesh:
Year: 2016 PMID: 27218604 DOI: 10.1021/acs.jcim.6b00088
Source DB: PubMed Journal: J Chem Inf Model ISSN: 1549-9596 Impact factor: 4.956