| Literature DB >> 24900272 |
Erik Laurini1, Valentina Dal Col1, Maria Grazia Mamolo2, Daniele Zampieri2, Paola Posocco1, Maurizio Fermeglia1, Luciano Vio2, Sabrina Pricl1.
Abstract
This study presents for the first time the 3D model of the σ1 receptor protein as obtained from homology modeling techniques, shows the applicability of this structure to docking-based virtual screening, defines a computational strategy to optimize the results based on a combination of 3D pharmacophore-based docking and MM/PBSA free energy of binding scoring, and provides evidence that these in silico models and recipes are powerful tools on which virtual screening of new σ1 ligands can be based. In particular, the validation of the applicability of docking-based virtual screening to homology models is of utmost importance, since no crystal structure is available to date for the σ1 receptor, and this missing information still constitutes a major hurdle for a rational ligand design for this important protein target.Entities:
Keywords: 3D pharmacophore model; docking; free energy of binding; homology modeling; virtual screening; σ1 Receptor
Year: 2011 PMID: 24900272 PMCID: PMC4017991 DOI: 10.1021/ml2001505
Source DB: PubMed Journal: ACS Med Chem Lett ISSN: 1948-5875 Impact factor: 4.345