2019
DOI: 10.22146/ijc.39567
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Hydrogen Bond Stability of Quinazoline Derivatives Compounds in Complex against EGFR using Molecular Dynamics Simulation

Abstract: Lung cancer was a second common cancer case due to the high cigarette smoking activity both in men and women. One of protein receptor which plays an important role in the growth of the tumor is Epidermal Growth Factor Receptor (EGFR). EGFR protein is the most frequent protein mutation in cancer and promising target to inhibit the cancer growth. In this work, the stability of the hydrogen bond as the main interaction in the inhibition mechanism of cancer will be evaluated using molecular dynamics simulation. Th… Show more

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Cited by 2 publications
(2 citation statements)
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“…The advantage of molecular docking in designing a new inhibitor does not require a large amount of data or only employ some molecules as the lead compounds. Previous research had designed quinazoline derivative compounds by using quantitative structureactivity relationship (QSAR) analysis in large data compounds [16][17][18] and studied the stability of hydrogen bond formed through compound and protein [19][20][21][22]. However, designing a new EGFR inhibitor using a molecular docking approach of the lead compounds such as erlotinib, afatinib, and WZ4002 has never been done.…”
Section: ■ Introductionmentioning
confidence: 99%
“…The advantage of molecular docking in designing a new inhibitor does not require a large amount of data or only employ some molecules as the lead compounds. Previous research had designed quinazoline derivative compounds by using quantitative structureactivity relationship (QSAR) analysis in large data compounds [16][17][18] and studied the stability of hydrogen bond formed through compound and protein [19][20][21][22]. However, designing a new EGFR inhibitor using a molecular docking approach of the lead compounds such as erlotinib, afatinib, and WZ4002 has never been done.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Computer-aided drug design offers a powerful tool to design and screen new chemotherapy agents [6][7]. In this in silico assay, the crystalline structure of protein receptors inside the cancer cells is modeled and simulated in the presence of a new chemotherapy agent [8].…”
Section: ■ Introductionmentioning
confidence: 99%