title: Generation of receptor structural ensembles for virtual screening using binding site shape analysis and clustering.
abstract: Accounting for protein flexibility is an essential yet challenging component of structure-based virtual screening. Whereas an ideal approach would account for full protein and ligand flexibility during the virtual screening process, this is currently intractable using available computational resources. An alternative is ensemble docking, where calculations are performed on a set of individual rigid receptor conformations and the results combined. The primary challenge associated with this approach is the choice of receptor structures to use for the docking calculations. In this work, we show that selection of a small set of structures based on clustering on binding site volume overlaps provides an efficient and effective way to account for protein flexibility in virtual screening. We first apply the method to crystal structures of cyclin-dependent kinase 2 and HIV protease and show that virtual screening for ensembles of four cluster representative structures yields consistently high enrichments and diverse actives. We then apply the method to a structural ensemble of the androgen receptor generated with molecular dynamics and obtain results that are in agreement with those from the crystal structures of cyclin-dependent kinase 2 and HIV protease. This work provides a step forward in the incorporation of protein flexibility into structure-based virtual screening.
authors.affiliation: Shifa Biomedical, 1 Great Valley Parkway, Suite 8, Malvern, PA 19355, USA.
authors.forename: David J
authors.initials: DJ
authors.lastname: Osguthorpe
authors.forename: Woody
authors.initials: W
authors.lastname: Sherman
authors.forename: Arnold T
authors.initials: AT
authors.lastname: Hagler
mesh_terms: D001665:Binding Sites; D016000:Cluster Analysis; D051357:Cyclin-Dependent Kinase 2 / Q000737:chemistry* / Q000378:metabolism; D015195:Drug Design; D004791:Enzyme Inhibitors / Q000737:chemistry / Q000494:pharmacology; D016333:HIV Protease / Q000737:chemistry* / Q000378:metabolism; D015497:HIV-1 / Q000201:enzymology*; D006801:Humans; D008024:Ligands; D056004:Molecular Dynamics Simulation; D011487:Protein Conformation; D011944:Receptors, Androgen / Q000737:chemistry* / Q000378:metabolism
chemical_list: D004791:Enzyme Inhibitors; D008024:Ligands; D011944:Receptors, Androgen; D051357:Cyclin-Dependent Kinase 2; D016333:HIV Protease