OPTIMIZING STRUCTURE-BASED VIRTUAL SCREENING PROTOCOL TO IDENTIFY PHYTOCHEMICALS AS CYCLOOXYGENASE-2 INHIBITORS
| Main Author: | Istyastono, Enade Perdana; Division of Drug Design and Discovery, Faculty of Pharmacy, Sanata Dharma University Center for Environmental Studies Sanata Dharma University (CESSDU) |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Pharmacy Universitas Gadjah Mada, Yogyakarta, Skip Utara, 55281, Indonesia
, 2016
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| Subjects: | |
| Online Access: |
http://indonesianjpharm.farmasi.ugm.ac.id/index.php/3/article/view/1085 http://indonesianjpharm.farmasi.ugm.ac.id/index.php/3/article/view/1085/780 |
Daftar Isi:
- By employing Databases of Useful Decoys (DUD) and its enhanced version (DUD-E), several attempts to construct validated Structure-based Virtual Screening (SBVS) protocols to identify cyclooxygenase-2 (COX-2) inhibitors have been performed. Both databases tagged active COX-2 inhibitors for compounds with IC50 values < 1mM. In the search for phytochemicals as natural COX-2 inhibitors, however, most of their IC50 values are in the micromolar range, which will likely be identified as non-inhibitors for COX-2 by the available SBVS protocols. In this article, validation of an SBVS protocol by adding marginal active COX-2 inhibitors from DUD-E as active compounds is presented. Binary quantitative-structure activity relationship analysis by using recursive partition and regression tree method was performed subsequently to optimize the predictive ability of the protocol. The enrichment factor and the F-measure values of the optimized protocol could reach 44.78 and 0.47, respectively. The optimized protocol could identify 1 out of 9 phytochemicals as COX-2 inhibitors.