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通过分子建模和模拟探索 AP2A2 转录因子抑制的协同机制,作为一种新型计算方法来对抗乳腺癌:计算机解释。

Exploring the Synergistic Mechanism of AP2A2 Transcription Factor Inhibition via Molecular Modeling and Simulations as a Novel Computational Approach for Combating Breast Cancer: In Silico Interpretations.

机构信息

Department of Biotechnology, RV College of Engineering, Bangalore, 560059, India.

Biotechnology Industry Research Assistance Council (BIRAC), CGO complex Lodhi Road, New Delhi, India.

出版信息

Mol Biotechnol. 2024 Sep;66(9):2497-2521. doi: 10.1007/s12033-023-00871-3. Epub 2023 Sep 25.

DOI:10.1007/s12033-023-00871-3
PMID:37747672
Abstract

Studies have shown that transcription factor AP2A2 (activator protein-2 alpha-2) is involved in the expression of DLEC1, a tumor suppressor gene, which, when mutated, will cause breast cancer and is thus an excellent target for breast cancer studies. Therefore, in the present research, a synergistic approach toward combating breast cancer is proposed by blocking AP2A2 factor, and allowing the cancer cells to be sensitive to anti-cancer drugs. The effect of AP2A2 on breast cancer was first understood via gene analysis from cBioPortal. AP2A2 was then modeled using RaptorX and its structure was validated from Ramachandran plots. Using all ligands from MolPort database, molecular docking was performed against AP2A2, from which the top three best docked ligands were studied for toxicity in humans using Protox-II. Once the ligands passed these tests, the best complexes were simulated at 200ns in Desmond Maestro, to comprehend their stabilities, followed by the computations of free energies of binding via Molecular mechanics- Generalized Born Solvent Accessibility method (MM-GBSA). The results showed that molecules MolPort-005-945-556 (sachharolipids), MolPort-001-741-124 (flavonoids), and MolPort-005-944-667 (lignan glycosides) with AP2A2 passed toxicity evaluation and belonged to toxicity classes 6, 5, and 5, respectively, with good docking energies. 200 ns simulations revealed stable complexes with slight conformational changes. Stability of ligands was confirmed via snapshots at every 20 ns of the trajectory. Radial distribution of these molecules against the protein revealed very slight deviation from binding pocket. Additionally, the free binding energies for these complexes were found to be - 54.93 ± 12.982 kcal/mol, - 44.39 ± 14.393 kcal/mol, and - 66.51 ± 13.522 kcal/mol, respectively. A preliminary computational validation of the inability of AP2A2 to bind to DLEC1 in the presence of ligands offers beneficial insights into the potential of these ligands. Therefore, this study sheds light on the potential natural molecules that could stably block AP2A2 with least deviation and act in synergy to aid anti-cancer drugs work on breast cancer cells.

摘要

研究表明,转录因子 AP2A2(激活蛋白-2 阿尔法-2)参与了肿瘤抑制基因 DLEC1 的表达,当该基因发生突变时,会导致乳腺癌,因此是乳腺癌研究的极佳靶点。因此,本研究提出了一种通过阻断 AP2A2 因子使癌细胞对抗癌药物敏感来对抗乳腺癌的协同方法。首先通过 cBioPortal 从基因分析中了解 AP2A2 对乳腺癌的影响。然后使用 RaptorX 对 AP2A2 进行建模,并使用 Ramachandran 图验证其结构。使用 MolPort 数据库中的所有配体,对 AP2A2 进行分子对接,从对接结果中研究了前三种与人类毒性相关的最佳对接配体。一旦这些配体通过了这些测试,就使用 Desmond Maestro 在 200ns 下模拟最佳复合物,以了解它们的稳定性,然后通过分子力学-广义 Born 溶剂可及性方法(MM-GBSA)计算结合自由能。结果表明,与 AP2A2 结合的 MolPort-005-945-556(甘露糖脂)、MolPort-001-741-124(类黄酮)和 MolPort-005-944-667(木脂素糖苷)这三种分子通过了毒性评估,分别属于毒性等级 6、5 和 5,且对接能量良好。200ns 模拟显示复合物稳定,仅有轻微构象变化。通过轨迹上每隔 20ns 的快照来确认配体的稳定性。这些分子对蛋白质的径向分布显示出与结合口袋的轻微偏差。此外,这些复合物的自由结合能分别为-54.93±12.982kcal/mol、-44.39±14.393kcal/mol 和-66.51±13.522kcal/mol。在配体存在的情况下,AP2A2 不能与 DLEC1 结合的初步计算验证提供了这些配体具有潜力的有益见解。因此,本研究为潜在的天然分子提供了一个启示,这些分子可以以最小的偏离稳定地阻断 AP2A2,并协同作用,帮助抗癌药物作用于乳腺癌细胞。

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