| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 443699 | Journal of Molecular Graphics and Modelling | 2012 | 7 Pages |
The main applications of virtual chemical screening include the selection of a minimal receptor-relevant subset of a chemical library with a maximal chemical diversity. We have previously reported that the combination of ligand-centric and receptor-centric virtual screening methods may provide a compromise between computational time and accuracy during the hit enrichment process. In the present work, we propose a “progressive distributed docking” method that improves the virtual screening process using an iterative combination of shape-matching and docking steps. Known ligands with low docking scores were used as initial 3D templates for the shape comparisons with the chemical library. Next, new compounds with good template shape matches and low receptor docking scores were selected for the next round of shape searching and docking. The present iterative virtual screening process was tested for enriching Peroxisome proliferator-activated receptor and Phosphoinositide 3-kinase relevant compounds from a selected subset of the chemical libraries. It was demonstrated that the iterative combination improved the lead-hopping practice by improving the chemical diversity in the selected list of virtual hits.
Graphical abstractProgressive iteration of shape-matching and docking methods.Figure optionsDownload full-size imageDownload high-quality image (166 K)Download as PowerPoint slideHighlights► We designed an iterative combination of shape-matching and docking methods. ► The method improves docking score of virtual hits over non-iterative methods. ► We quantitatively analyzed chemical space of selected compounds. ► The method improves the chemical diversity of virtual hits.
