title: From descriptors to predicted properties: experimental design by using applicability domain estimation.
abstract: The importance of reliable methods for representative sub-sampling in terms of experimental design and risk assessment within the European Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) system is crucial. We developed experimental design approaches, by utilising predicted properties and the 'distance to model' parameter, to estimate the benefits of certain compounds to the quality of a resulting model. A statistical evaluation of four regression data sets and one classification data set showed that the adaptive concept of iteratively refining the representation of the chemical space contributes to a more efficient and more reliable selection in comparison to traditional approaches. The evaluation of compounds with regard to the uncertainty and the correlation of prediction is beneficial, and in particular, for regression data sets of sufficient size, whereas the use of predicted properties to define the chemical space is beneficial for classification models.
authors.affiliation: Helmholtz-Zentrum München - German Research Centre for Environmental Health (GmbH), Institute of Structural Biology, Munich, Germany. stefan.brandmaier@gmail.com
authors.forename: Stefan
authors.initials: S
authors.lastname: Brandmaier
authors.forename: Sergii
authors.initials: S
authors.lastname: Novotarskyi
authors.forename: Iurii
authors.initials: I
authors.lastname: Sushko
authors.forename: Igor V
authors.initials: IV
authors.lastname: Tetko
mesh_terms: D015386:Hazardous Substances / Q000633:toxicity*; D012044:Regression Analysis; D012107:Research Design; D018570:Risk Assessment / Q000379:methods
chemical_list: D015386:Hazardous Substances