3D-QSAR, molecular docking, and dynamics simulation of quinazoline-phosphoramidate mustard conjugates as EGFR inhibitor

Ruslin Ruslin, Resky Amelia, Yamin Yamin, Sandra Megantara, Chun Wu, Muhammad Arba

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

To develop novel and more potent quinazoline-phosphoramidate mustard conjugates as epidermal growth factor receptor (EGFR) inhibitor, three-dimensional quantitative structure-activity relationship [comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA)] combined with molecular docking were performed. A series of 13 compounds in the training set gave q 2 values of 0.577 and 0.537, as well as r 2 values of 0.926 and 0.921 for CoMFA and CoMSIA models, respectively. The contour maps that were produced by the CoMFA and CoMSIA models revealed that steric, electrostatic, and hydrophobic fields were crucial in the inhibitory activity of quinazoline-phosphoramidate derivatives. Based on the CoMFA and CoMSIA models, several novel EGFR inhibitors were designed, which established crucial interactions at the ligand binding domain of EGFR. Nearly, 100 ns MD simulation indicated the stability of the designed compounds at 100 ns, while molecular mechanics-Poisson Boltzmann surface area calculation showed that the designed compound had a higher affinity than that of the parent compound.

Original languageEnglish (US)
Pages (from-to)89-97
Number of pages9
JournalJournal of Applied Pharmaceutical Science
Volume9
Issue number1
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Pharmacology, Toxicology and Pharmaceutics
  • Pharmacology (medical)
  • Medicine (miscellaneous)

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