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Pharmacophore Modeling: Advances, Limitations, And Current Utility In Drug Discovery
Author: Xiaoyu Qing, Xiao Yin Lee,joren De Raeymaeker, Jeremy Rh Tame, Kam Yj Zhang, Marc De Maeyer, Arnout Rd Voet
Publisher: Derivative Works
12 pages
One time payment: €0.00
Required subscription: Free
Type of publication: Article
ISBN/ISSN: 1178-699X
DOI: 10.2147/JRLCR.S46843
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Abstract: Pharmacophore modeling is a successful yet very diverse subfield of computer-aided drug design. The concept of the pharmacophore has been widely applied to the rational design of novel drugs. In this paper, we review the computational implementation of this concept and its common usage in the drug discovery process. Pharmacophores can be used to represent and identify molecules on a 2D or 3D level by schematically depicting the key elements of molecular recognition. The most common application of pharmacophores is virtual screening, and different strategies are possible depending on the prior knowledge. However, the pharmacophore concept is also useful for ADME-tox modeling, side effect, and off-target prediction as well as target identification. Furthermore, pharmacophores are often combined with molecular docking simulations to improve virtual screening. We conclude this review by summarizing the new areas where significant progress may be expected through the application of pharmacophore modeling; these include protein–protein interaction inhibitors and protein design.

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