| pubmed-article:19434824 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19434824 | lifeskim:mentions | umls-concept:C0220908 | lld:lifeskim |
| pubmed-article:19434824 | lifeskim:mentions | umls-concept:C1707455 | lld:lifeskim |
| pubmed-article:19434824 | lifeskim:mentions | umls-concept:C0150098 | lld:lifeskim |
| pubmed-article:19434824 | lifeskim:mentions | umls-concept:C1553497 | lld:lifeskim |
| pubmed-article:19434824 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:19434824 | pubmed:dateCreated | 2009-5-12 | lld:pubmed |
| pubmed-article:19434824 | pubmed:abstractText | Several in-house developed descriptors and our in-house docking tool ActDock were compared with virtual screening on the data set of useful decoys (DUD). The results were compared with the chemical fingerprint descriptor from ChemAxon and with the docking results of the original DUD publication. The DUD is the first published data set providing active molecules, decoys, and references for crystal structures of ligand-target complexes. The DUD was designed for the purpose of evaluating docking programs. It contains 2950 active compounds against a total of 40 target proteins. Furthermore, for every ligand the data set contains 36 structurally dissimilar decoy compounds with similar physicochemical properties. We extracted the ligands from the target proteins to extend the applicability of the data set to include ligand based virtual screening. From the 40 target proteins, 37 contained ligands that we used as query molecules for virtual screening evaluation. With this data set a large comparison was done between four different chemical fingerprints, a topological pharmacophore descriptor, the Flexophore descriptor, and ActDock. The Actelion docking tool relies on a MM2 forcefield and a pharmacophore point interaction statistic for scoring; the details are described in this publication. In terms of enrichment rates the chemical fingerprint descriptors performed better than the Flexophore and the docking tool. After removing molecules chemically similar to the query molecules the Flexophore descriptor outperformed the chemical descriptors and the topological pharmacophore descriptors. With the similarity matrix calculations used in this study it was shown that the Flexophore is well suited to find new chemical entities via "scaffold hopping". The Flexophore descriptor can be explored with a Java applet at http://www.cheminformatics.ch in the submenu Tools-->Flexophore. Its usage is free of charge and does not require registration. | lld:pubmed |
| pubmed-article:19434824 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19434824 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19434824 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19434824 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19434824 | pubmed:month | Feb | lld:pubmed |
| pubmed-article:19434824 | pubmed:issn | 1549-9596 | lld:pubmed |
| pubmed-article:19434824 | pubmed:author | pubmed-author:SanderThomasT | lld:pubmed |
| pubmed-article:19434824 | pubmed:author | pubmed-author:von... | lld:pubmed |
| pubmed-article:19434824 | pubmed:author | pubmed-author:FreyssJoelJ | lld:pubmed |
| pubmed-article:19434824 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:19434824 | pubmed:volume | 49 | lld:pubmed |
| pubmed-article:19434824 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19434824 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19434824 | pubmed:pagination | 209-31 | lld:pubmed |
| pubmed-article:19434824 | pubmed:dateRevised | 2009-11-19 | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:meshHeading | pubmed-meshheading:19434824... | lld:pubmed |
| pubmed-article:19434824 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19434824 | pubmed:articleTitle | Comparison of ligand- and structure-based virtual screening on the DUD data set. | lld:pubmed |
| pubmed-article:19434824 | pubmed:affiliation | Department of Research Informatics, Actelion Ltd., Gewerbestrasse 16, CH-4123 Allschwil, Switzerland. modest.korff@actelion.com | lld:pubmed |
| pubmed-article:19434824 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19434824 | pubmed:publicationType | Comparative Study | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:19434824 | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:19434824 | lld:pubmed |
