Improving VEGFR-2 docking-based screening by pharmacophore postfiltering and similarity search postprocessing
Autor: | Violeta I. Pérez-Nueno, Jordi Teixidó, José I. Borrell, Rosa M. Claramunt, Jesús M. Planesas |
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Rok vydání: | 2011 |
Předmět: |
Models
Molecular Databases Factual Computer science General Chemical Engineering Nearest neighbor search VEGF receptors Drug Evaluation Preclinical Library and Information Sciences Crystallography X-Ray Ligands Small Molecule Libraries Structure-Activity Relationship Enzyme Inhibitors Virtual screening Binding Sites biology Molecular Structure business.industry Pattern recognition General Chemistry Ligand (biochemistry) Vascular Endothelial Growth Factor Receptor-2 Computer Science Applications Ranking ROC Curve Docking (molecular) biology.protein Artificial intelligence Pharmacophore business Algorithm Chemical database Algorithms Protein Binding |
Zdroj: | Journal of chemical information and modeling. 51(4) |
ISSN: | 1549-960X |
Popis: | Conventional docking-based virtual screening (VS) of chemical databases is based on the ranking of compounds according to the values retrieved by a scoring function (typically, the binding affinity estimation). However, using the most suitable scoring function for each kind of receptor pocket is not always an effective process to rank compounds, and sometimes neither to distinguish between correct binding modes from incorrect ones. To improve actives from decoys selection, here we propose a three-step VS protocol, which includes the conventional docking step, a pharmacophore postfilter step, and a similarity search postprocess. This VS protocol is retrospectively applied to VEGFR-2 (Kdr-kinase) inhibitors. The resulting docking poses calculated using the Alpha HB scoring function implemented in MOE are postfiltered according to defined pharmacophore interactions (structure based). The selected poses are again ranked according to their molecular similarity (MACCS fingerprint) to the cognate ligand. Results show that both the overall and early VS performance improve the application of this protocol. |
Databáze: | OpenAIRE |
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