scholarly journals Quantitative Structure-Activity Relationship of Indolo[1,2-b]quinazoline Derivatives with Antitumor Activity

2005 ◽  
Vol 21 (01) ◽  
pp. 28-32
Author(s):  
WU Wen-Juan ◽  
◽  
LAI Rong ◽  
ZHENG Kang-Cheng ◽  
YUN Feng-Cun
2011 ◽  
Vol 66 (3-4) ◽  
pp. 136-142
Author(s):  
Rodrigo Octavio M. A. de Souza ◽  
José C. Barros ◽  
Joaquim F. M. da Silva ◽  
Octavio A. C. Antunes

A quantitative structure-activity relationship model for Morita-Baylis-Hillman adducts with leishmanicidal activities was developed which correlates molecular orbital energy and dipole with percentage in the promastigote stage


2018 ◽  
Vol 34 (5) ◽  
pp. 2361-2369
Author(s):  
Herlina Rasyid ◽  
Bambang Purwono ◽  
Ria Armunanto

Quantitative structure-activity relationship (QSAR) based on electronic descriptors had been conducted on 2,3-dihydro-[1,4]dioxino[2,3-f]quinazoline analogues as anticancer using DFT/B3LYP method. The best QSAR equation described as follow: Log IC50 = -11.688 + (-35.522×qC6) + (-21.055×qC10) + (-85.682×qC12) + (-32.997×qO22) + (-85.129 EHOMO) + (19.724×ELUMO). Statistical value of R2 = 0.8732, rm2 = 0.7935, r2-r02/r2 = 0.0118, PRESS = 1.5727 and Fcalc/Ftable = 2.4067 used as external validation. Atomic net charge showed as the most important descriptor to predict activity and design new molecule. Following QSAR analysis, Lipinski rules was applied to filter the design compound due to physicochemical properties and resulted that all filtered compounds did not violate the rules. Docking analysis was conducted to determine interaction between proposed compounds and EGFR protein. Critical hydrogen bond was found in Met769 residue suggesting that proposed compounds could be used to inhibit EGFR protein.


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