In silico screening of alkaloids as potential inhibitors of epidermal growth factor receptor

Bui Thanh Tung, Pham Thi Kim Dung, Nguyen Nhu Son, Nguyen Bao Kim, Nguyen Hai Ha, Nguyen Thanh Tra
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Abstract

The epidermal growth factor receptor (EGFR) belongs to the HER/erbB receptor tyrosine kinase (RTK) family, serving as a crucial target for cancer treatment. Anti-EGFR drugs, used as a primary treatment for patients with advanced EGFR gene mutations such as T790M, C797S, and L858R, have shown greater efficacy and safety compared to standard chemotherapy. This study aimed to screen alkaloid compounds with anticancer activity, extracted from the Selleckchem database that inhibit EGFR enzyme activity. The structure of the EGFR receptor was retrieved from the Protein Data Bank, whilst compounds were gathered from the alkaloids library within the Selleckchem database, with their structures downloaded from the PubChem database. Molecular docking was performed using Autodock Vina software. Lipinski’s rule of five was employed to distinguish between compounds with drug-like and non-drug-like properties. The pharmacokinetic parameters of potential compounds were evaluated using the pkCSM tool. Our research indicates that amongst the screened alkaloids, four compounds - peiminine, sanguinarine chloride, dauricine, and irinotecan - are the most promising inhibitors of the EGFR receptor for the treatment of lung cancer. These compounds exhibit high binding affinity for the active sites of EGFR, thus inhibiting its activity. All aforementioned compounds adhere to Lipinski’s rule and possess pharmacokinetic properties (absorption, distribution, metabolism, excretion, and toxicity - ADMET) that render them suitable for development into drugs.
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生物碱作为表皮生长因子受体潜在抑制剂的筛选
表皮生长因子受体(EGFR)属于HER/erbB受体酪氨酸激酶(RTK)家族,是癌症治疗的重要靶点。抗EGFR药物作为晚期EGFR基因突变患者的主要治疗手段,如T790M、C797S和L858R,与标准化疗相比,已显示出更高的疗效和安全性。本研究旨在筛选从Selleckchem数据库中提取的抑制EGFR酶活性的具有抗癌活性的生物碱化合物。EGFR受体的结构从蛋白质数据库中检索,而化合物从Selleckchem数据库中的生物碱库中收集,其结构从PubChem数据库中下载。使用Autodock Vina软件进行分子对接。利平斯基的五法则被用来区分具有类药物和非类药物性质的化合物。使用pkCSM工具评估潜在化合物的药动学参数。我们的研究表明,在筛选的生物碱中,四种化合物-贝亚明、氯化血碱、尿嘧啶和伊立替康-是最有希望治疗肺癌的EGFR受体抑制剂。这些化合物对EGFR活性位点表现出高结合亲和力,从而抑制其活性。上述所有化合物都遵循Lipinski规则,并具有药代动力学特性(吸收、分布、代谢、排泄和毒性- ADMET),使其适合开发成药物。
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