Department of Pharmaceutical Chemistry, Faculty of Pharmacv, The Islamia University of, Bahawalpur, 63100, Pakistan.
Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh, 11451, Saudi Arabia.
Chem Biodivers. 2023 Dec;20(12):e202301190. doi: 10.1002/cbdv.202301190. Epub 2023 Nov 22.
The Epidermal Growth Factor Receptor (EGFR) is an important therapeutic target for the treatment of a variety of epithelial malignancies, including breast cancer, in which EGFR is aberrantly expressed.The fluorocyclopentenyl-purine-pyrimidines derivatives, which have previously been described as powerful compounds against breast cancer, were selected to investigate their potential against EGFR using computational tools in an effort to obtain potent inhibitors with fewer adverse effects. The molecule's chemical reactivity and stability were assessed by determining the HOMO-LUMO energy gap using density functional theory (DFT) calculations. Among all the selected compounds, PU4 displayed a HOMO-LUMO gap of 0.191 eV. Additionally, molecular docking analysis was performed to assess the binding affinities of PU4 within the active pocket of EGFR-TK. The compound PU4 showed potent interactions with EGFR exhibiting -32.3 kJ/mol binding energy which was found best as compared to gefitinib i. e., -27.4 kJ/mol which was further validated by molecular dynamics simulations and ADMET analysis. The results of these analyses indicate that the top hits obtained from the virtual screening possess the ability to act as effective EGFR inhibitor. Therefore, it is recommended to further investigate the inhibitory potential of these identified compounds using in vitro and in vivo approaches.
表皮生长因子受体(EGFR)是治疗多种上皮恶性肿瘤的重要治疗靶点,包括乳腺癌,其中 EGFR 异常表达。氟环戊烯基嘌呤嘧啶衍生物,以前曾被描述为对抗乳腺癌的有力化合物,被选中使用计算工具研究其对 EGFR 的潜在作用,以获得具有较少不良反应的有效抑制剂。通过使用密度泛函理论(DFT)计算来确定 HOMO-LUMO 能隙来评估分子的化学反应性和稳定性。在所选择的所有化合物中,PU4 显示出 0.191 eV 的 HOMO-LUMO 能隙。此外,进行了分子对接分析,以评估 PU4 在 EGFR-TK 的活性口袋内的结合亲和力。该化合物 PU4 与 EGFR 表现出强烈的相互作用,其结合能为-32.3 kJ/mol,与 gefitinib(-27.4 kJ/mol)相比表现出最佳的结合能力,这进一步通过分子动力学模拟和 ADMET 分析得到了验证。这些分析的结果表明,从虚拟筛选中获得的最佳命中具有作为有效 EGFR 抑制剂的作用的能力。因此,建议使用体外和体内方法进一步研究这些鉴定化合物的抑制潜力。