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通过计算机模拟筛选、ADMET、动力学模拟和DFT分析揭示辣木中作为非小细胞肺癌中EGFR和VEGFR-2双重抑制剂的有前景的植物化合物。

Unveiling promising phytocompounds from Moringa oleifera as dual inhibitors of EGFR and VEGFR-2 in non-small cell lung cancer through in silico screening, ADMET, dynamics simulation, and DFT analysis.

作者信息

Masudur Rahman Munna Md, Touki Tahamid Tusar Md, Sajnin Shanta Saima, Hossain Ahmed Md, Sarafat Ali Md

机构信息

Department of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh; Dawn of Bioinformatics Limited, Dhaka 1361, Bangladesh.

Department of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.

出版信息

J Genet Eng Biotechnol. 2024 Sep;22(3):100406. doi: 10.1016/j.jgeb.2024.100406. Epub 2024 Aug 12.

DOI:10.1016/j.jgeb.2024.100406
PMID:39179328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11372720/
Abstract

Non-small cell lung cancer (NSCLC) is among the main causes of mortality from cancer around the globe, affecting all genders. Current treatments mainly focus on tyrosine kinase inhibitors (TKIs) targeting the epidermal growth factor receptor (EGFR). However, resistance mechanisms, such as the emergence of T790M and C797S EGFR mutations and upregulation of VEGFR-2, often hinder the effectiveness of TKIs. Thereby, EGFR and VEGFR-2 present an intriguing opportunity for the treatment of NSCLC by developing dual-acting drugs. This research aims to evaluate prospective Moringa oleifera L. (MO)-originated compounds to efficiently block both of these receptors. In our research, we screened a library of 200 compounds sourced from MO, a plant known for its remarkable therapeutic potential. We identified five intriguing phytocompounds: hesperetin, gossypetin, quercetin, gallocatechin, and epigallocatechin, as potential anti-cancer agents. The compounds have demonstrated notable binding affinity in virtual screening and multi-stage molecular docking analysis, surpassing the controls, Erlotinib and Bevacizumab + Rituximab. In addition, these compounds demonstrate top-notch drug-likeness and ADMET properties. The five promising drug candidates also had a strong ability to bind to receptors and stayed stable with them during the 200 ns molecular dynamics (MD) simulation and MM-GBSA calculation. Furthermore, DFT analysis indicates that hesperetin, gossypetin, and quercetagetin stand out as the most promising drug candidates among all others. The findings of our study suggest that these three therapeutic candidates can precisely target both EGFR and VEGFR-2 and can potentially act on both of these pathways as a single agent.

摘要

非小细胞肺癌(NSCLC)是全球癌症死亡的主要原因之一,影响所有性别。目前的治疗主要集中在针对表皮生长因子受体(EGFR)的酪氨酸激酶抑制剂(TKIs)。然而,耐药机制,如T790M和C797S EGFR突变的出现以及VEGFR-2的上调,常常阻碍TKIs的有效性。因此,EGFR和VEGFR-2为开发双效药物治疗NSCLC提供了一个有趣的机会。本研究旨在评估源自辣木(MO)的前瞻性化合物,以有效阻断这两种受体。在我们的研究中,我们筛选了一个由200种源自MO的化合物组成的文库,MO是一种以其显著治疗潜力而闻名的植物。我们鉴定出五种有趣的植物化合物:橙皮素、棉皮素、槲皮素、表没食子儿茶素没食子酸酯和表儿茶素,作为潜在的抗癌药物。这些化合物在虚拟筛选和多阶段分子对接分析中表现出显著的结合亲和力,超过了对照药物厄洛替尼和贝伐单抗+利妥昔单抗。此外,这些化合物还表现出一流的类药性和ADMET性质。这五种有前景的候选药物在200纳秒分子动力学(MD)模拟和MM-GBSA计算过程中也具有很强的与受体结合能力,并与它们保持稳定。此外,密度泛函理论(DFT)分析表明,橙皮素、棉皮素和槲皮素在所有其他化合物中脱颖而出,是最有前景的候选药物。我们的研究结果表明,这三种治疗候选药物可以精确靶向EGFR和VEGFR-2,并有可能作为单一药物作用于这两条途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/ece4d9e390cf/gr14.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/4a2df587bb05/ga1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/822c3e84074d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/2e8911652e11/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/34123001b97e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/8888351eaf71/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/7d94092d4fbf/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/a141cb79cd8f/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/79bc14d09ed1/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/94fdf05a0856/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18a9/11372720/32441efb34da/gr12.jpg
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