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基于计算机的头颈部鳞状细胞癌中磷酸肌醇 3-激酶催化亚单位 α 潜在抑制剂的预测。

In-silico prediction of potential inhibitors against phosphatidylinositol 3-kinase catalytic subunit alpha involved in head and neck squamous cell carcinomas.

机构信息

School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

J Biomol Struct Dyn. 2022 Jul;40(10):4697-4712. doi: 10.1080/07391102.2020.1861980. Epub 2020 Dec 24.

Abstract

Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers, globally. Its high mortality rates remained unaltered in the last three decades, therefore, there is an enormous need for novel therapeutics. The most frequent somatically mutated oncogenic pathway in HNSCC tumors is the Phosphatidylinositol-3-kinases (PI3K) pathway. PI3Ks are lipid kinases involved in the regulation of cell survival, growth and metabolism. PI3Ks phosphorylates PI (4,5) P2 (PIP2) converting it to PI (3, 4, 5) P3 (PIP3). Alterations such as mutation, gene amplification and overexpression in PIK3CA, encoding the catalytic subunit p110α of PI3K pathway were found to be prevalent. The aberrant activation leads to irregulated cell growth due to improper p110α enzymatic activity. p110α is therefore, considered a potential oncogenic target for cancer therapy. The only FDA approved specific inhibitor of p110α is Alpelisib (BYL719). Therefore, designing more effective and specific p110α inhibitors could be a promising strategy in the treatment of HNSCC. The present study aims to find out the potent and novel inhibitors of p110α using High Throughput Screening (HTS) of huge databases (National Cancer Institute (NCI), Life Chemicals, ChemDiv and ChEMBL) and Molecular Dynamic Simulations. As a result, from more than 400,000 compounds, a total of 3 best candidate compounds (Echinacoside, Isoacteoside, K284-4402) were selected and validated for their binding to catalytic site of p110α and stability during Molecular Dynamics (MD) simulations. The binding free energy (calculated from MM-PBSA) of the selected compounds, Echinacoside, Isoacteoside, K284-4402 were -23.43 kcal/mol, -33.02 kcal/mol and -30.57 kcal/mol, respectively, which suggested these compounds bind to p110α with higher affinity than Alpelisib which has binding free energy -20.9 kcal/mol. This study provides a significant in-depth understanding of p110α inhibitors that can be used in the development of potential therapeutics against HNSCC.Communicated by Ramaswamy H. Sarma.

摘要

头颈部鳞状细胞癌(HNSCC)是全球最常见的癌症之一。在过去的三十年中,其高死亡率并未改变,因此,人们迫切需要新的治疗方法。HNSCC 肿瘤中最常见的体细胞突变致癌途径是磷脂酰肌醇-3-激酶(PI3K)途径。PI3Ks 是参与细胞存活、生长和代谢调节的脂质激酶。PI3Ks 磷酸化 PI(4,5)P2(PIP2),将其转化为 PI(3,4,5)P3(PIP3)。发现 PIK3CA 中的突变、基因扩增和过表达等改变,PIK3CA 编码 PI3K 途径的催化亚基 p110α。这种异常激活会导致由于 p110α 酶活性异常而导致的细胞生长失控。因此,p110α 被认为是癌症治疗的潜在致癌靶点。唯一获得 FDA 批准的 p110α 特异性抑制剂是 Alpelisib(BYL719)。因此,设计更有效和更特异的 p110α 抑制剂可能是治疗 HNSCC 的一种有前途的策略。本研究旨在通过高通量筛选(HTS)巨大的数据库(美国国立癌症研究所(NCI)、生命化学物质、ChemDiv 和 ChEMBL)和分子动力学模拟,寻找有效的新型 p110α 抑制剂。结果,从超过 40 万种化合物中,总共选择了 3 种最佳候选化合物(玉竹多糖、异毛蕊花糖苷、K284-4402),并对它们与 p110α 催化位点的结合能力和分子动力学(MD)模拟过程中的稳定性进行了验证。所选化合物(玉竹多糖、异毛蕊花糖苷、K284-4402)的结合自由能(根据 MM-PBSA 计算)分别为-23.43kcal/mol、-33.02kcal/mol 和-30.57kcal/mol,这表明这些化合物与 p110α 的结合亲和力高于结合自由能为-20.9kcal/mol 的 Alpelisib。这项研究提供了对 p110α 抑制剂的深入了解,可用于开发针对 HNSCC 的潜在治疗方法。由 Ramaswamy H. Sarma 传达。

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