# Quantitative structure activity relationship (QSAR) based on electronic descriptors and docking studies of quinazoline derivatives for anticancer activity
> Rasyid H.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85055770679
Jurnal / Konferensi: Oriental Journal of Chemistry
Tahun terbit: 2018
DOI: https://doi.org/10.13005/ojc/340517
ISSN: 0970020X
Citations: 4

## Authors
- Rasyid H.

## 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.

## Keywords
- Quantitative structure–activity relationship
- Chemistry
- Quinazoline
- Lipinski's rule of five
- Docking (animal)
- Material chemistry
- Computational chemistry
- Hydrogen bond
- Stereochemistry
- Molecule
- Organic chemistry
- Green chemistry
- Supramolecular chemistry
- Biochemistry
- In silico
- Gene
- Medicine
- Nursing

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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