title: Docking-based virtual screening: recent developments.
abstract: Virtual (database) screening (VS) of molecules promises to accelerate the discovery of new drugs and reduce costs by identifying molecules with high probabilities of binding to a target receptor. The large amount of available protein X-ray crystal structures, together with the development of more effective homology modelling techniques, has led recently to a steep increase in docking-based VS studies. This approach needs computational fitting of molecules into a receptor active site using advanced algorithms, followed by the scoring and ranking of these molecules to identify potential leads. In this review, the main published docking-based VS studies developed over the last eight years are investigated, and details are provided about the software used, the results achieved and the novel methods employed.
authors.affiliation: Dipartimento di Scienze Farmaceutiche, Universită di Pisa, via Bonanno 6, 56126 Pisa, Italy. tuccinardi@farm.unipi.it
authors.forename: Tiziano
authors.initials: T
authors.lastname: Tuccinardi
mesh_terms: D003198:Computer Simulation; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D008958:Models, Molecular; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins