Computational Analysis of Artimisinin Derivatives on the Antitumor Activities

Abstract

The study on antitumor activities of artemisinin and its derivatives has been closely focused on in recent years. Herein, 2D and 3D QSAR analysis was performed on the basis of a series of artemisinin derivatives with known bioactivities against the non-small-cell lung adenocarcinoma A549 cells. Four QSAR models were successfully established by CoMSIA, CoMFA, topomer CoMFA and HQSAR approaches with respective characteristic values q2 = 0.567, R2 = 0.968, ONC = 5; q2 = 0.547, R2 = 0.980, ONC = 7; q2 = 0.559, R2 = 0.921, ONC = 7 and q2 = 0.527, R2 = 0.921, ONC = 6. The predictive ability of CoMSIA with r2 = 0.991 is the best one compared with the other three approaches, such as CoMFA (r2 = 0.787), topomer CoMFA (r2 = 0.819) and HQSAR (r2 = 0.743). The final QSAR models can provide guidance in structural modification of artemisinin derivatives to improve their anticancer activities.

Computational assessment of the radical scavenging activity of cleomiscosin

“…[1][2][3][4][5][6] Among them, cleomiscosin A (CMA), cleomiscosin B (CMB), and cleomiscosin C (CMC) are the chemical species found in most plant sources. [7][8][9][10][11][12] Previous studies reported many pharmacologically important activities of cleomiscosin (CM) substances, with the most prominent being their anti-inammatory, [13][14][15] anti-cancer cytotoxic, [16][17][18] anti-oxidant, [19][20][21] and hepatoprotective activity. 22,23 Some in vitro studies have documented the radical scavenging activity of select CM compounds.…”