Computer-aided identification of natural lead compounds as cyclooxygenase-2 inhibitors using virtual screening and molecular dynamic simulation. (December 2018)

• Record Type: Journal Article
• Authors: Ounissi, Mourad; Kameli, Abdelkrim; Tigrine, Chafia; Rachedi, Fatma Zohra
• Is Part Of: Computational biology and chemistry. Volume 77(2018)
• Page Start: 1
• Page End: 16
• Publication Date: 2018-12
• Subjects: Pharmacophore model -- COX-2 -- UNPD -- Virtual screening -- Lead compounds -- Molecular dynamic simulation; Chemistry -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; Biochemistry -- Data processing; Biology -- Data processing; Molecular biology -- Data processing; Periodicals; Electronic journals; 542.85
• DOI: 10.1016/j.compbiolchem.2018.07.005
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: The pharmacophore hypothesis AAHRRR.41 was identified as best model for virtual screening. 3D-QSAR, molecular docking and molecular dynamic simulation were used to identify and confirm the best natural lead compounds as potential COX-2 inhibitors. The natural compound UNPD100208 revealed high affinity and good stability in the active site of COX-2 based on several parameters such as Potential energy, RMSD, RMSF. Abstract: In order to find more natural lead-compounds as inhibitors for Cyclooxygenase-2, the essential structural features for human cyclooxygenase-2 inhibitors and 3D-Quantitative structure activity relationship (3D-QSAR) model were carried out based on dataset from three confirmatory bioassays using Phase program. Six point pharmacophore (AAHRRR) of COX-2 selective inhibitors was generated from training set of 52 compounds. The 3D-QSAR model was selected as having favourable statistic measures ( R 2 = 0.93, Q 2 ext = 0.81) for the training set and test set respectively. This model was developed using the best pharmacophore hypothesis that helped to reveal the essential features responsible for the anti-inflammatory activity. As a result, this pharmacophore hypothesis has aided in the identification of new four natural lead compounds from UNPD database (UNPD100208, UNPD168234, UNPD91145, UNPD57376) that can be used as potential anti-inflammatory agents or as a core structure to develop other more selective molecules. This result was confirmed by molecular docking, which showed that these four natural lead-compounds adopt the same orientation as Rofecoxib in the COX-2 active site. On the other hand, a molecular dynamic simulation (MDS) was applied and repeated on the top ranking complex 5KIR-UNPD100208 and compared with the results of MDS of 5KIR-Rofecoxib. The results from MDS revealed a good stability of the compound UNPD100208 in the active site based on several parameters such as RMSD, RMSF and potential energy, which can nominate it as a natural anti-inflammatory lead-compound candidate.