DocumentCode :
2956875
Title :
Pharmacoinformatics approach to the discovery of novel selective COX-2 inhibitors by in silico virtual screening
Author :
Chen, Omix Yu-Chian
Author_Institution :
Dept. of Biol. Sci. & Technol., China Med. Univ., Taichung
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
1242
Lastpage :
1249
Abstract :
Various potent anti-cancer compounds, defined as group A, B, D, and YC-1 derivatives, were recruited for the simulation trails of selective inhibition to human cyclooxygenase-2 (COX-2). From our modeling, Leu530 and Ile522 would lead to the COX-1 binding site with a tunnel-like configuration. Compounds of group B would be suitable in the lobby of COX-1. In contract, the larger compounds, group A, D, and YC-1 derivatives were more potential against COX-2. As more the compounds bound in the similar pose indicates more the possible docking poses could happen, and thus generated the consensus pose. The anthraquinonyl group could be more suitable near the Tyr371 and Trp373 of COX-2, and the added hydroxyl group that interacted with Arg106/Tyr341 gate led the ligand more stable. In aspect of group D, the fused hydroxyl and aldehydyl group on one candidate attempted to interact with the gate which induced the whole construction more stable. Besides, the hydrophobic groups, fusing on some candidates and bounding between Ser516 and Tyr371 could stabilize the whole conformations in active site. We found the H-bond interactions between the gate of active site and the hydrophobic region among Ser516 and Tyr371 were important for the bound ligands in COX-2 active site.
Keywords :
pharmaceutical technology; virtual reality; COX-2 inhibitors; H-bond interactions; anthraquinonyl group; anticancer compounds; human cyclooxygenase-2; hydrophobic region; hydroxyl group; pharmacoinformatics approach; silico virtual screening; tunnel-like configuration; Biochemistry; Biomembranes; Contracts; Drugs; Epidermis; Humans; Hydrogen; Inhibitors; Proteins; Recruitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4633958
Filename :
4633958
Link To Document :
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