2D and 3D similarity landscape analysis identifies PARP as a novel off-target for the drug Vatalanib. Issue 1 (December 2015)
- Record Type:
- Journal Article
- Title:
- 2D and 3D similarity landscape analysis identifies PARP as a novel off-target for the drug Vatalanib. Issue 1 (December 2015)
- Main Title:
- 2D and 3D similarity landscape analysis identifies PARP as a novel off-target for the drug Vatalanib
- Authors:
- Gohlke, Bjoern-Oliver
Overkamp, Tim
Richter, Anja
Richter, Antje
Daniel, Peter
Gillissen, Bernd
Preissner, Robert - Abstract:
- Abstract Background Searching for two-dimensional (2D) structural similarities is a useful tool to identify new active compounds in drug-discovery programs. However, as 2D similarity measures neglect important structural and functional features, similarity by 2D might be underestimated. In the present study, we used combined 2D and three-dimensional (3D) similarity comparisons to reveal possible new functions and/or side-effects of known bioactive compounds. Results We utilised more than 10, 000 compounds from the SuperTarget database with known inhibition values for twelve different anti-cancer targets. We performed all-against-all comparisons resulting in 2D similarity landscapes. Among the regions with low 2D similarity scores are inhibitors of vascular endothelial growth factor receptor (VEGFR) and inhibitors of poly ADP-ribose polymerase (PARP). To demonstrate that 3D landscape comparison can identify similarities, which are untraceable in 2D similarity comparisons, we analysed this region in more detail. This 3D analysis showed the unexpected structural similarity between inhibitors of VEGFR and inhibitors of PARP. Among the VEGFR inhibitors that show similarities to PARP inhibitors was Vatalanib, an oral "multi-targeted" small molecule protein kinase inhibitor being studied in phase-III clinical trials in cancer therapy. Anin silico docking simulation and anin vitro HT universal colorimetric PARP assay confirmed that the VEGFR inhibitor Vatalanib exhibits off-targetAbstract Background Searching for two-dimensional (2D) structural similarities is a useful tool to identify new active compounds in drug-discovery programs. However, as 2D similarity measures neglect important structural and functional features, similarity by 2D might be underestimated. In the present study, we used combined 2D and three-dimensional (3D) similarity comparisons to reveal possible new functions and/or side-effects of known bioactive compounds. Results We utilised more than 10, 000 compounds from the SuperTarget database with known inhibition values for twelve different anti-cancer targets. We performed all-against-all comparisons resulting in 2D similarity landscapes. Among the regions with low 2D similarity scores are inhibitors of vascular endothelial growth factor receptor (VEGFR) and inhibitors of poly ADP-ribose polymerase (PARP). To demonstrate that 3D landscape comparison can identify similarities, which are untraceable in 2D similarity comparisons, we analysed this region in more detail. This 3D analysis showed the unexpected structural similarity between inhibitors of VEGFR and inhibitors of PARP. Among the VEGFR inhibitors that show similarities to PARP inhibitors was Vatalanib, an oral "multi-targeted" small molecule protein kinase inhibitor being studied in phase-III clinical trials in cancer therapy. Anin silico docking simulation and anin vitro HT universal colorimetric PARP assay confirmed that the VEGFR inhibitor Vatalanib exhibits off-target activity as a PARP inhibitor, broadening its mode of action. Conclusion In contrast to the 2D-similarity search, the 3D-similarity landscape comparison identifies new functions and side effects of the known VEGFR inhibitor Vatalanib. … (more)
- Is Part Of:
- BMC bioinformatics. Volume 16:Issue 1(2015)
- Journal:
- BMC bioinformatics
- Issue:
- Volume 16:Issue 1(2015)
- Issue Display:
- Volume 16, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2015-0016-0001-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2015-12
- Subjects:
- Bioinformatics -- Drug action -- Drug discovery -- Polyadenylation -- Vascular endothelial growth factor (VEGF) -- 3D similarity landscapes -- Drug-discovery -- Vatalanib -- PARP
Bioinformatics -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://www.biomedcentral.com/bmcbioinformatics/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=13 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12859-015-0730-x ↗
- Languages:
- English
- ISSNs:
- 1471-2105
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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