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  3. In silico target fishing for rationalized ligand discovery exemplified on constituents of Ruta graveolens

In silico target fishing for rationalized ligand discovery exemplified on constituents of Ruta graveolens

Details
Publisher DOI
10.1055/s-0028-1088397
PubMed ID
19096995
Abstract
The identification of targets whose interaction is likely to result in the successful treatment of a disease is of growing interest for natural product scientists. In the current study we performed an exemplary application of a virtual parallel screening approach to identify potential targets for 16 secondary metabolites isolated and identified from the aerial parts of the medicinal plant RUTA GRAVEOLENS L. Low energy conformers of the isolated constituents were simultaneously screened against a set of 2208 pharmacophore models generated in-house for the IN SILICO prediction of putative biological targets, i. e., target fishing. Based on the predicted ligand-target interactions, we focused on three biological targets, namely acetylcholinesterase (AChE), the human rhinovirus (HRV) coat protein and the cannabinoid receptor type-2 (CB (2)). For a critical evaluation of the applied parallel screening approach, virtual hits and non-hits were assayed on the respective targets. For AChE the highest scoring virtual hit, arborinine, showed the best inhibitory IN VITRO activity on AChE (IC (50) 34.7 muM). Determination of the anti-HRV-2 effect revealed 6,7,8-trimethoxycoumarin and arborinine to be the most active antiviral constituents with IC (50) values of 11.98 muM and 3.19 muM, respectively. Of these, arborinine was predicted virtually. Of all the molecules subjected to parallel screening, one virtual CB (2) ligand was obtained, i. e., rutamarin. Interestingly, in experimental studies only this compound showed a selective activity to the CB (2) receptor ( Ki of 7.4 muM) by using a radioligand displacement assay. The applied parallel screening paradigm with constituents of R. GRAVEOLENS on three different proteins has shown promise as an IN SILICO tool for rational target fishing and pharmacological profiling of extracts and single chemical entities in natural product research.
Date Issued
2009
Publication Type
Article
Language(s)
en
Author(s)
Rollinger, Judith M
Schuster, Daniela
Danzl, Birgit
Schwaiger, Stefan
Markt, Patrick
Schmidtke, Michaela
Gertsch, Jürg  
Institut für Biochemie und Molekulare Medizin  
Raduner, Stefan
Wolber, Gerhard
Langer, Thierry
Stuppner, Hermann
Additional Credits
Institut für Biochemie und Molekulare Medizin  
Journal
Planta medica
Publisher
Thieme
ISSN
0032-0943
Access(Rights)
metadata.only
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