Title
Comparison of three preprocessing filters efficiency in virtual screening: identification of new putative LXRbeta regulators as a test case.
Abstract
In silico screening methodologies are widely recognized as efficient approaches in early steps of drug discovery. However, in the virtual high-throughput screening (VHTS) context, where hit compounds are searched among millions of candidates, three-dimensional comparison techniques and knowledge discovery from databases should offer a better efficiency to finding novel drug leads than those of computationally expensive molecular dockings. Therefore, the present study aims at developing a filtering methodology to efficiently eliminate unsuitable compounds in VHTS process. Several filters are evaluated in this paper. The first two are structure-based and rely on either geometrical clocking or pharmacophore depiction. The third filter is ligand-based and uses knowledge-based and fingerprint similarity techniques. These filtering methods were tested with the Liver X Receptor (LXR) as a target of therapeutic interest, as LXR is a key regulator in maintaining cholesterol homeostasis. The results show that the three considered filters are complementary so that their combination should generate consistent compound lists of potential hits.
Year
DOI
Venue
2010
10.1021/ci900356m
JOURNAL OF CHEMICAL INFORMATION AND MODELING
DocType
Volume
Issue
Journal
50
5
ISSN
Citations 
PageRank 
1549-9596
1
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Leo Ghemtio142.19
Marie-Dominique Devignes221323.87
Malika Smaïl-Tabbone31007.95
Michel Souchet441.46
Vincent Leroux511.05
Bernard Maigret6208.88