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Quantitative Structure Activity Relationship (QSAR) Based on Electronic Descriptors and Docking Studies of Quinazoline Derivatives for Anticancer Activity

Authors :
Herlina Rasyid
Bambang Purwono
Ria Armunanto
Source :
Oriental Journal of Chemistry. 34:2361-2369
Publication Year :
2018
Publisher :
Oriental Scientific Publishing Company, 2018.

Abstract

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.

Details

ISSN :
22315039 and 0970020X
Volume :
34
Database :
OpenAIRE
Journal :
Oriental Journal of Chemistry
Accession number :
edsair.doi...........dcd3e2fbf1847bb98d196e3f53d2f385
Full Text :
https://doi.org/10.13005/ojc/340517