Abstract
Pharmacophore approaches have evolved to be one of the most successful tools in drug discovery, especially since the past two decades. 3D pharmacophore methods are now commonly used as part of more complex workflows in drug discovery campaigns, and have been successfully and extensively applied in virtual screening (VS) approaches. This review provides a perspective of how to assess the performance of 3D pharmacophore models to be used in VS. Since 3D VS protocols are in general assessed by their ability to discriminate between active and inactive compounds, we summarize the impact of the composition and preparation of modeling and external sets on the outcome of evaluations. Moreover, we highlight the significance of both classic enrichment parameters and advanced descriptors for the performance of 3D pharmacophore-based virtual screening methods.
Keywords: Drug design, Enrichment descriptors, Pharmacophore model, Performance evaluation, Virtual screening, InhA.
Current Topics in Medicinal Chemistry
Title:Assessing the Performance of 3D Pharmacophore Models in Virtual Screening: How Good are They?
Volume: 13 Issue: 9
Author(s): Rodolpho C. Braga and Carolina H. Andrade
Affiliation:
Keywords: Drug design, Enrichment descriptors, Pharmacophore model, Performance evaluation, Virtual screening, InhA.
Abstract: Pharmacophore approaches have evolved to be one of the most successful tools in drug discovery, especially since the past two decades. 3D pharmacophore methods are now commonly used as part of more complex workflows in drug discovery campaigns, and have been successfully and extensively applied in virtual screening (VS) approaches. This review provides a perspective of how to assess the performance of 3D pharmacophore models to be used in VS. Since 3D VS protocols are in general assessed by their ability to discriminate between active and inactive compounds, we summarize the impact of the composition and preparation of modeling and external sets on the outcome of evaluations. Moreover, we highlight the significance of both classic enrichment parameters and advanced descriptors for the performance of 3D pharmacophore-based virtual screening methods.
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Cite this article as:
Braga Rodolpho C. and Andrade Carolina H., Assessing the Performance of 3D Pharmacophore Models in Virtual Screening: How Good are They?, Current Topics in Medicinal Chemistry 2013; 13 (9) . https://dx.doi.org/10.2174/1568026611313090010
DOI https://dx.doi.org/10.2174/1568026611313090010 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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