title: Ligand docking and structure-based virtual screening in drug discovery.
abstract: Ligand-docking-based methods are starting to play a critical role in lead discovery and optimization, thus resulting in new 'drug-candidates'. They offer the possibility to go beyond the pool of existing active compounds, and thus find novel chemotypes. A brief tutorial on ligand docking and structure-based virtual screening is presented highlighting current problems and limitations, together with the most recent methodological and algorithmic developments in the field. Recent successful applications of docking-based tools for hit discovery, lead optimization and target-biased library design are also presented. Special consideration is devoted to ongoing efforts to account for protein flexibility in structure-based virtual screening.
authors.affiliation: MolSoft LLC, 3366 North Torrey Pines Ct. #300, La Jolla, CA 92037, USA. Claudio.N.Cavasotto@uth.tmc.edu
authors.forename: Claudio N
authors.initials: CN
authors.lastname: Cavasotto
authors.forename: Andrew J W
authors.initials: AJ
authors.lastname: Orry
mesh_terms: D000465:Algorithms; D000818:Animals; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D015195:Drug Design; D006801:Humans; D008024:Ligands; D008958:Models, Molecular; D011485:Protein Binding; D013329:Structure-Activity Relationship
chemical_list: D008024:Ligands