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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Drug Discovery Today...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Drug Discovery Today Technologies
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Drug Discovery Today Technologies
Other literature type . 2010
Data sources: u:cris
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Strategies for 3D pharmacophore-based virtual screening

Authors: Seidel, Thomas; Ibis, Gökhan; Bendix, Fabian; Wolber, Gerhard;

Strategies for 3D pharmacophore-based virtual screening

Abstract

3D pharmacophore-based techniques have become one of the most important approaches for the fast and accurate virtual screening of databases with millions of compounds. The success of 3D pharmacophores is largely based on their intuitive interpretation and creation, but the virtual screening with such three-dimensional geometric models still poses a considerable algorithmic and conceptual challenge. Most current implementations favor fast screening speed at the detriment of accuracy. This review describes the general strategies and algorithms employed for 3D pharmacophore searching by some current pharmacophore modeling platforms and will highlight their differences.

Country
Austria
Related Organizations
Keywords

102020 Medical informatics, 102020 Medizinische Informatik

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
106
Top 1%
Top 10%
Top 10%
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