• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过莪术根茎代谢物的分子相互作用和计算机模拟分析对基质金属蛋白酶9和葡萄糖调节蛋白78进行靶向调控:一种用于癌症治疗的计算机辅助药物发现方法。

Targeted modulation of MMP9 and GRP78 via molecular interaction and in silico profiling of Curcuma caesia rhizome metabolites: A computational drug discovery approach for cancer therapy.

作者信息

Desai Mahek, Bhattacharya Soham, Mehta Saurabhkumar, Joshi Kaushiki, Solanki Mitesh B, Akhani Trilok, Viehmannová Iva, Cusimamani Eloy Fernández

机构信息

Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Waghodia, Vadodara, Gujarat, India.

Department of Agroecology and Crop Production, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Suchdol, Czech Republic.

出版信息

PLoS One. 2025 Jul 18;20(7):e0328509. doi: 10.1371/journal.pone.0328509. eCollection 2025.

DOI:10.1371/journal.pone.0328509
PMID:40679956
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12273913/
Abstract

Cancer remains a leading cause of mortality worldwide, with conventional therapies showing limited efficacy and high toxicity. The increasing incidence and therapeutic resistance necessitate alternative strategies. In this regard, phytochemicals have emerged as potential sources of developing safer and novel anti-cancer agents. This study employs a structure-based drug design approach, integrating molecular docking, molecular dynamics (MD) simulations, and in silico profiling, to investigate the anti-cancer potential of metabolites from Curcuma caesia rhizomes. The research targets key cancer-associated proteins, Matrix Metalloproteinase-9 (MMP9) and Glucose-Regulated Protein 78 (GRP78), identified through expression analysis, functional network mapping, and pathway enrichment as critical mediators of cancer progression and metastasis. A comprehensive molecular docking analysis of 101 bioactive compounds from C. caesia rhizomes identified curcumin and bis-demethoxycurcumin as promising candidates, demonstrating high binding affinities and stable interactions with MMP9 and GRP78. MD simulations further validated the stability and robustness of these interactions under dynamic physiological conditions. Pharmacological profiling, including ADMET analysis, Lipinski's rule compliance, and bioactivity scoring, revealed favorable drug-like properties for both compounds, including strong absorption, distribution, low toxicity, and potential therapeutic activities such as enzyme inhibition and nuclear receptor-mediated processes. KEGG pathway enrichment analysis confirmed their involvement in key biological pathways linked to cancer progression, underscoring their therapeutic potential. The findings highlight curcumin and bis-demethoxycurcumin as promising phytochemical candidates for cancer therapy, capable of modulating MMP9 and GRP78 to suppress tumor progression. While these results provide a solid basis for their therapeutic potential, further experimental studies and clinical trials are crucial to confirm their efficacy and safety for human applications.

摘要

癌症仍然是全球主要的死亡原因,传统疗法疗效有限且毒性高。发病率的上升和治疗耐药性使得需要 alternative strategies。在这方面,植物化学物质已成为开发更安全、新型抗癌药物的潜在来源。本研究采用基于结构的药物设计方法,整合分子对接、分子动力学(MD)模拟和计算机模拟分析,以研究莪术根茎代谢产物的抗癌潜力。该研究针对通过表达分析、功能网络映射和通路富集确定为癌症进展和转移关键介质的关键癌症相关蛋白基质金属蛋白酶-9(MMP9)和葡萄糖调节蛋白78(GRP78)。对莪术根茎的101种生物活性化合物进行的全面分子对接分析确定姜黄素和双去甲氧基姜黄素为有前景的候选物,它们与MMP9和GRP78表现出高结合亲和力和稳定的相互作用。MD模拟进一步验证了这些相互作用在动态生理条件下的稳定性和稳健性。包括ADMET分析、符合Lipinski规则和生物活性评分在内的药理学分析显示这两种化合物具有良好的类药物性质,包括强吸收、分布、低毒性以及酶抑制和核受体介导过程等潜在治疗活性。KEGG通路富集分析证实它们参与了与癌症进展相关的关键生物学通路,突出了它们的治疗潜力。研究结果突出了姜黄素和双去甲氧基姜黄素作为癌症治疗有前景的植物化学候选物,能够调节MMP9和GRP78以抑制肿瘤进展。虽然这些结果为它们的治疗潜力提供了坚实基础,但进一步的实验研究和临床试验对于确认它们在人类应用中的疗效和安全性至关重要。

注

原文中“alternative strategies”未翻译,因为不清楚具体所指,需结合更多背景信息准确翻译。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/e1ed6eda0343/pone.0328509.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/0bb2bbb3a587/pone.0328509.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/1ce1557c8b7c/pone.0328509.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/2bb78688a1de/pone.0328509.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/f0516c4fca2e/pone.0328509.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/ecb8130affa7/pone.0328509.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/2949d775c93f/pone.0328509.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/5efd81203de7/pone.0328509.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/e2515ef69d59/pone.0328509.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/d51b368ddcb0/pone.0328509.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/d657e9e26c57/pone.0328509.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/f9c3cf1ddc4a/pone.0328509.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/e1ed6eda0343/pone.0328509.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/0bb2bbb3a587/pone.0328509.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/1ce1557c8b7c/pone.0328509.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/2bb78688a1de/pone.0328509.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/f0516c4fca2e/pone.0328509.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/ecb8130affa7/pone.0328509.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/2949d775c93f/pone.0328509.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/5efd81203de7/pone.0328509.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/e2515ef69d59/pone.0328509.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/d51b368ddcb0/pone.0328509.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/d657e9e26c57/pone.0328509.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/f9c3cf1ddc4a/pone.0328509.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9c/12273913/e1ed6eda0343/pone.0328509.g012.jpg

相似文献

1
Targeted modulation of MMP9 and GRP78 via molecular interaction and in silico profiling of Curcuma caesia rhizome metabolites: A computational drug discovery approach for cancer therapy.通过莪术根茎代谢物的分子相互作用和计算机模拟分析对基质金属蛋白酶9和葡萄糖调节蛋白78进行靶向调控:一种用于癌症治疗的计算机辅助药物发现方法。
PLoS One. 2025 Jul 18;20(7):e0328509. doi: 10.1371/journal.pone.0328509. eCollection 2025.
2
Unveiling the anticancer potential of Curcuma amada rhizome extract against prostate cancer through computational and experimental approaches.通过计算和实验方法揭示莪术根茎提取物对前列腺癌的抗癌潜力。
Sci Rep. 2025 Jul 9;15(1):24739. doi: 10.1038/s41598-025-10761-0.
3
In silico exploration of 4(α-l-rhamnosyloxy)-benzyl isothiocyanate: A promising phytochemical-based drug discovery approach for combating multi-drug resistant Staphylococcus aureus.基于计算机模拟探索 4(α-l-鼠李糖氧基)-苄基异硫氰酸酯:一种有前途的基于植物化学物质的药物发现方法,用于对抗多药耐药金黄色葡萄球菌。
Comput Biol Med. 2024 Sep;179:108907. doi: 10.1016/j.compbiomed.2024.108907. Epub 2024 Jul 20.
4
In silico analysis of polyphenols modulate bovine PPARγ to increase milk fat synthesis in dairy cattle via the MAPK signaling pathways.多酚通过 MAPK 信号通路调节奶牛 PPARγ 增加奶牛乳脂合成的计算机分析。
J Anim Sci. 2024 Jan 3;102. doi: 10.1093/jas/skae248.
5
Elucidating the Mechanism of Xiaoqinglong Decoction in Chronic Urticaria Treatment: An Integrated Approach of Network Pharmacology, Bioinformatics Analysis, Molecular Docking, and Molecular Dynamics Simulations.阐明小青龙汤治疗慢性荨麻疹的机制:网络药理学、生物信息学分析、分子对接和分子动力学模拟的综合方法
Curr Comput Aided Drug Des. 2025 Jul 16. doi: 10.2174/0115734099391401250701045509.
6
In silico investigation of Toxicodendron succedaneum phytochemicals as extracellular signal-regulated kinase 2 inhibitors for non-small cell lung cancer therapy.作为非小细胞肺癌治疗的细胞外信号调节激酶2抑制剂的盐肤木植物化学物质的计算机模拟研究。
Med Oncol. 2025 Jun 15;42(7):260. doi: 10.1007/s12032-025-02800-7.
7
Exploring Type II Diabetes Inhibitors from Genus Daphne Plant-species: An Integrated Computational Study.探索瑞香属植物物种中的II型糖尿病抑制剂:一项综合计算研究。
Comb Chem High Throughput Screen. 2025;28(8):1413-1442. doi: 10.2174/0113862073262227231005074024.
8
Molecular mechanisms of phytoconstituents from selected Egyptian plants against non-small cell lung cancer using integrated in vitro network pharmacology and molecular docking approach.采用体外整合网络药理学和分子对接方法研究埃及特定植物的植物成分抗非小细胞肺癌的分子机制。
Naunyn Schmiedebergs Arch Pharmacol. 2025 Jan 31. doi: 10.1007/s00210-025-03834-4.
9
Unraveling the mechanisms of antitumor action of flavonoids via network pharmacology and molecular simulation.通过网络药理学和分子模拟揭示黄酮类化合物的抗肿瘤作用机制
In Silico Pharmacol. 2025 Mar 20;13(1):48. doi: 10.1007/s40203-025-00338-0. eCollection 2025.
10
Computational design and evaluation of low-toxicity saquinavir analogues targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis.靶向严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主蛋白酶催化二聚体和氧负离子洞环的低毒性沙奎那韦类似物的计算设计与评估:来自 ensemble对接、分子动力学、动态去对接和ADMET分析的见解
Drug Chem Toxicol. 2025 Jul 9:1-15. doi: 10.1080/01480545.2025.2528850.

本文引用的文献

1
Molecular interaction profiling and binding dynamics of Cinnamomum zeylanicum phytochemicals with human pancreatic amylase.锡兰肉桂植物化学成分与人类胰腺淀粉酶的分子相互作用分析及结合动力学
J Mol Graph Model. 2025 May;136:108938. doi: 10.1016/j.jmgm.2024.108938. Epub 2025 Jan 1.
2
A Review of Recent Curcumin Analogues and Their Antioxidant, Anti-Inflammatory, and Anticancer Activities.近期姜黄素类似物及其抗氧化、抗炎和抗癌活性综述
Antioxidants (Basel). 2024 Sep 6;13(9):1092. doi: 10.3390/antiox13091092.
3
Correlation of Solvent Interaction Analysis Signatures with Thermodynamic Properties and In Silico Calculations of the Structural Effects of Point Mutations in Two Proteins.
溶剂相互作用分析特征与热力学性质的相关性及两种蛋白质中定点突变结构效应的计算。
Int J Mol Sci. 2024 Sep 6;25(17):9652. doi: 10.3390/ijms25179652.
4
Computational Screening of T-Muurolol for an Alternative Antibacterial Solution against Infections: An In Silico Approach for Phytochemical-Based Drug Discovery.计算机筛选 T-穆罗洛尔作为替代抗菌药物治疗感染的方法:基于植物化学物质的药物发现的计算方法。
Int J Mol Sci. 2024 Sep 6;25(17):9650. doi: 10.3390/ijms25179650.
5
Combination non-targeted and sGRP78-targeted nanoparticle drug delivery outperforms either component to treat metastatic ovarian cancer.联合非靶向和靶向sGRP78的纳米颗粒药物递送在治疗转移性卵巢癌方面比任何一种成分都更有效。
J Control Release. 2024 Nov;375:438-453. doi: 10.1016/j.jconrel.2024.09.014. Epub 2024 Sep 19.
6
Endoplasmic reticulum stress-a key guardian in cancer.内质网应激——癌症中的关键守护者。
Cell Death Discov. 2024 Jul 30;10(1):343. doi: 10.1038/s41420-024-02110-3.
7
Cytotoxic potential of Curcuma caesia rhizome extract and derived gold nanoparticles in targeting breast cancer cell lines.莪术根茎提取物及其衍生金纳米粒子对乳腺癌细胞系的细胞毒性作用。
Sci Rep. 2024 Jul 26;14(1):17223. doi: 10.1038/s41598-024-66175-x.
8
In silico exploration of 4(α-l-rhamnosyloxy)-benzyl isothiocyanate: A promising phytochemical-based drug discovery approach for combating multi-drug resistant Staphylococcus aureus.基于计算机模拟探索 4(α-l-鼠李糖氧基)-苄基异硫氰酸酯:一种有前途的基于植物化学物质的药物发现方法,用于对抗多药耐药金黄色葡萄球菌。
Comput Biol Med. 2024 Sep;179:108907. doi: 10.1016/j.compbiomed.2024.108907. Epub 2024 Jul 20.
9
Combined experiments and molecular simulations for understanding the thermo-responsive behavior and gelation of methylated glucans with different glycosidic linkages.通过组合实验和分子模拟理解具有不同糖苷键的甲基化葡聚糖的温敏行为和胶凝作用。
J Colloid Interface Sci. 2024 Nov 15;674:315-325. doi: 10.1016/j.jcis.2024.06.187. Epub 2024 Jun 24.
10
Roles of Phytochemicals in Cancer Prevention and Therapeutics.植物化学物质在癌症预防和治疗中的作用。
Int J Mol Sci. 2024 May 17;25(10):5450. doi: 10.3390/ijms25105450.