title: Evaluation of quantitative structure-activity relationship modeling strategies: local and global models.
abstract: A thorough comparison between different QSAR modeling strategies is presented. The comparison is conducted for local versus global modeling strategies, risk assessment, and computational cost. The strategies are implemented using random forests, support vector machines, and partial least squares. Results are presented for simulated data, as well as for real data, generally indicating that a global modeling strategy is preferred over a local strategy. Furthermore, the results also show that there is an pronounced risk and a comparatively high computational cost when using the local modeling strategies.
authors.affiliation: Safety Assessment, AstraZeneca Research & Development, 43183 Molndal, Sweden. ahlberghelgee@gmail.com
authors.forename: Ernst Ahlberg
authors.initials: EA
authors.lastname: Helgee
authors.forename: Lars
authors.initials: L
authors.lastname: Carlsson
authors.forename: Scott
authors.initials: S
authors.lastname: Boyer
authors.forename: Ulf
authors.initials: U
authors.lastname: Norinder
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D008958:Models, Molecular; D021281:Quantitative Structure-Activity Relationship; D018570:Risk Assessment; D013997:Time Factors