UNRAVELLING THE INTERACTION BETWEEN GARCINISIDONE-A AND HER2 PROTEIN IN BREAST CANCER: A COMPUTATIONAL STUDY

Q2 Pharmacology, Toxicology and Pharmaceutics International Journal of Applied Pharmaceutics Pub Date : 2024-02-15 DOI:10.22159/ijap.2024.v16s1.24
Mainal Furqan, Dachriyanus, Meri Susanti, Purnawan Pontana Putra, F. Wahyuni
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Abstract

Objective: One substance found in the leaves of Garcinia cowa Roxb that has anticancer properties is garcinisidone-A. The study aims to simulate the docking of garcinisidone-A (Gar-A), molecular dynamics, and predict the ADME by predicting the binding of the HER2 protein in breast cancer cells and developing new drug candidate options for cancer treatment, often starting with computational analysis. Methods: The research method involves computational utilization of pkCSM applications, Gar-A docking simulation with the HER2 protein using Gnina software version 1.0.2, and molecular dynamics conducted with GROMACS 2022.2 and CHARMMGUI applications. Results: Gar-A has a molecular weight of less than 500, a Log P value of greater than 5, a limited amount of water solubility, a low level of skin permeability, good intestinal permeability, and a Convolutional Neural Network (CNN) pose score on the HER2 protein of 0.6178. It also does not readily cross the blood-brain barrier, and total clearance values indicate rapid elimination via other excretory routes or enzyme metabolism. Gar-A is thought to have interactions with HER2. There are hydrogen bond interactions with amino acids Lys753 and Asp863, carbon-hydrogen bonds with amino acids Leu785, Ser783, Thr862, and alkyl bonds with amino acids Leu726, Leu852, and Ile767. The stability of the Gar-A-substrate interaction could have been more evident during 100 ns molecular dynamics simulation. Conclusion: The physicochemical properties of Gar-A align with Lipinski's rule for drug candidates. ADME predictions indicate good intestinal permeability for Gar-A; however, it suggests it cannot penetrate the blood-brain barrier. The docking results reveal that Gar-A has a value close to one which indicates similar action to its natural ligand and molecular dynamics simulations that Gar-A is less stable. The results illustrate that Gar-A has the potential as a breast anticancer.
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揭示加西尼酮-A 与乳腺癌中 her2 蛋白的相互作用:一项计算研究
目的:藤黄属植物(Garcinia cowa Roxb)的叶子中含有一种具有抗癌特性的物质,这就是加西尼酮-A(garcinisidone-A)。本研究旨在模拟加西尼酮-A(Gar-A)的对接、分子动力学,并通过预测其在乳腺癌细胞中与 HER2 蛋白的结合来预测 ADME,开发治疗癌症的新药候选方案,通常从计算分析开始。方法:研究方法包括使用 pkCSM 应用程序进行计算,使用 Gnina 软件 1.0.2 版进行 Gar-A 与 HER2 蛋白的对接模拟,以及使用 GROMACS 2022.2 和 CHARMMGUI 应用程序进行分子动力学。结果:Gar-A 的分子量小于 500,Log P 值大于 5,水溶性有限,皮肤渗透性低,肠道渗透性好,在 HER2 蛋白上的卷积神经网络(CNN)姿态得分为 0.6178。它也不易通过血脑屏障,总清除率值表明它可通过其他排泄途径或酶代谢迅速排出体外。Gar-A 被认为与 HER2 有相互作用。与氨基酸 Lys753 和 Asp863 存在氢键相互作用,与氨基酸 Leu785、Ser783 和 Thr862 存在碳氢键相互作用,与氨基酸 Leu726、Leu852 和 Ile767 存在烷基键相互作用。在 100 ns 分子动力学模拟过程中,Gar-A 与底物相互作用的稳定性可能会更加明显。结论Gar-A 的理化性质符合候选药物的 Lipinski 规则。ADME 预测表明,Gar-A 具有良好的肠道渗透性;但是,这表明它不能穿透血脑屏障。对接结果表明,Gar-A 的值接近于 1,这表明其作用与其天然配体相似,而分子动力学模拟结果表明,Gar-A 的稳定性较差。这些结果表明,Gar-A 具有乳腺癌抗癌潜力。
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来源期刊
International Journal of Applied Pharmaceutics
International Journal of Applied Pharmaceutics Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
CiteScore
1.40
自引率
0.00%
发文量
219
期刊介绍: International Journal of Applied Pharmaceutics (Int J App Pharm) is a peer-reviewed, bimonthly (onward March 2017) open access journal devoted to the excellence and research in the pure pharmaceutics. This Journal publishes original research work that contributes significantly to further the scientific knowledge in conventional dosage forms, formulation development and characterization, controlled and novel drug delivery, biopharmaceutics, pharmacokinetics, molecular drug design, polymer-based drug delivery, nanotechnology, nanocarrier based drug delivery, novel routes and modes of delivery; responsive delivery systems, prodrug design, development and characterization of the targeted drug delivery systems, ligand carrier interactions etc. However, the other areas which are related to the pharmaceutics are also entertained includes physical pharmacy and API (active pharmaceutical ingredients) analysis. The Journal publishes original research work either as a Original Article or as a Short Communication. Review Articles on a current topic in the said fields are also considered for publication in the Journal.
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