title: Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures.
abstract: This paper reports a detailed comparison of a range of different types of 2D fingerprints when used for similarity-based virtual screening with multiple reference structures. Experiments with the MDL Drug Data Report database demonstrate the effectiveness of fingerprints that encode circular substructure descriptors generated using the Morgan algorithm. These fingerprints are notably more effective than fingerprints based on a fragment dictionary, on hashing and on topological pharmacophores. The combination of these fingerprints with data fusion based on similarity scores provides both an effective and an efficient approach to virtual screening in lead-discovery programmes.
authors.affiliation: Krebs Institute for Biomolecular Research and Department of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
authors.forename: Jérôme
authors.initials: J
authors.lastname: Hert
authors.forename: Peter
authors.initials: P
authors.lastname: Willett
authors.forename: David J
authors.initials: DJ
authors.lastname: Wilton
authors.forename: Pierre
authors.initials: P
authors.lastname: Acklin
authors.forename: Kamal
authors.initials: K
authors.lastname: Azzaoui
authors.forename: Edgar
authors.initials: E
authors.lastname: Jacoby
authors.forename: Ansgar
authors.initials: A
authors.lastname: Schuffenhauer
mesh_terms: D000465:Algorithms; D002626:Chemistry, Pharmaceutical / Q000379:methods; D003198:Computer Simulation; D016208:Databases, Factual; D015195:Drug Design; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D004364:Pharmaceutical Preparations; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004364:Pharmaceutical Preparations