title: Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives.
abstract: Virtual screening methods are commonly used nowadays in drug discovery processes. However, to ensure their reliability, they have to be carefully evaluated. The evaluation of these methods is often realized in a retrospective way, notably by studying the enrichment of benchmarking data sets. To this purpose, numerous benchmarking data sets were developed over the years, and the resulting improvements led to the availability of high quality benchmarking data sets. However, some points still have to be considered in the selection of the active compounds, decoys, and protein structures to obtain optimal benchmarking data sets.
authors.affiliation: Laboratoire Génomique, Bioinformatique et Applications, EA 4627, Conservatoire National des Arts et Métiers, 292 rue Saint Martin, 75003 Paris, France.
authors.forename: Nathalie
authors.initials: N
authors.lastname: Lagarde
authors.affiliation: Laboratoire Génomique, Bioinformatique et Applications, EA 4627, Conservatoire National des Arts et Métiers, 292 rue Saint Martin, 75003 Paris, France.
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Zagury
authors.affiliation: Laboratoire Génomique, Bioinformatique et Applications, EA 4627, Conservatoire National des Arts et Métiers, 292 rue Saint Martin, 75003 Paris, France.
authors.forename: Matthieu
authors.initials: M
authors.lastname: Montes
mesh_terms: D019985:Benchmarking; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D006801:Humans; D008024:Ligands; D011506:Proteins / Q000737:chemistry / Q000378:metabolism; D014584:User-Computer Interface
chemical_list: D008024:Ligands; D011506:Proteins