Identification of Novel Potential Herbal Drug Targets against Beta-Catenin in the Treatment of Oral Squamous Cell Carcinoma.

Priyadarshini R, Abilasha Ramasubramanian, Pratibha Ramani, Mukesh Doble
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Abstract

Objective: The study aims to identify potential pharmacophore models for targeting beta-catenin, a crucial protein involved in the development of oral squamous cell carcinoma (OSCC), using a combination of herbal compounds and computational approaches.

Methods: Five natural compounds namely Quercetin, Lycopene, Ovatodiolide, Karsil, and Delphinidin were selected based on their reported activity against beta-catenin. Ligand characteristics were analyzed using SwissADME to evaluate drug-likeness, lipophilicity (logP), and bioavailability. The three-dimensional structure of beta-catenin was retrieved from the Protein Data Bank (PDB). Pharmacophore modeling was performed using Pharmagist software, followed by molecular docking using Swissdock to assess binding interactions and energies.

Results: Out of thousands of pharmacophore hits generated, 23 were selected based on drug-likeness properties. Molecular docking revealed that ZINC94512303, derived from the combination of the selected herbal compounds, exhibited the highest binding energy of -8.91 kcal/mol with beta-catenin, outperforming individual herbal compounds. This compound adhered to all drug-likeness rules and demonstrated optimal pharmacokinetic properties.

Conclusion: The identified pharmacophore, ZINC94512303, shows promise as a therapeutic agent targeting beta-catenin in OSCC. The combination of computational drug design with herbal compounds offers a novel approach to enhance the efficacy of cancer treatment. Further pharmacokinetic and pharmacodynamic studies, along with in vitro and clinical evaluations, are recommended to validate the therapeutic potential of this compound.

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鉴定治疗口腔鳞状细胞癌的β-Catenin潜在草药新靶点
目的:本研究旨在利用草药化合物和计算方法的结合,确定潜在的靶向β -catenin的药效团模型,β -catenin是参与口腔鳞状细胞癌(OSCC)发展的关键蛋白。方法:选取槲皮素、番茄红素、卵黄内酯、卡西尔和飞鸡苷等5种天然化合物,根据其对β -连环蛋白的活性进行筛选。使用SwissADME分析配体特征,以评估药物相似性、亲脂性(logP)和生物利用度。β -连环蛋白的三维结构从蛋白质数据库(PDB)中检索。使用Pharmagist软件进行药效团建模,然后使用Swissdock进行分子对接以评估结合相互作用和能量。结果:在生成的数千个药效团中,根据药物相似性选择了23个。分子对接结果表明,组合得到的ZINC94512303与β -catenin的结合能最高,为-8.91 kcal/mol,优于单个化合物。该化合物符合所有药物相似规则,并表现出最佳的药代动力学性质。结论:所鉴定的药效团ZINC94512303有望作为靶向β -连环蛋白治疗OSCC的药物。计算药物设计与草药化合物的结合为提高癌症治疗的疗效提供了一种新的方法。建议进一步进行药代动力学和药效学研究,以及体外和临床评估,以验证该化合物的治疗潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
779
审稿时长
3 months
期刊介绍: Cancer is a very complex disease. While many aspects of carcinoge-nesis and oncogenesis are known, cancer control and prevention at the community level is however still in its infancy. Much more work needs to be done and many more steps need to be taken before effective strategies are developed. The multidisciplinary approaches and efforts to understand and control cancer in an effective and efficient manner, require highly trained scientists in all branches of the cancer sciences, from cellular and molecular aspects to patient care and palliation. The Asia Pacific Organization for Cancer Prevention (APOCP) and its official publication, the Asia Pacific Journal of Cancer Prevention (APJCP), have served the community of cancer scientists very well and intends to continue to serve in this capacity to the best of its abilities. One of the objectives of the APOCP is to provide all relevant and current scientific information on the whole spectrum of cancer sciences. They aim to do this by providing a forum for communication and propagation of original and innovative research findings that have relevance to understanding the etiology, progression, treatment, and survival of patients, through their journal. The APJCP with its distinguished, diverse, and Asia-wide team of editors, reviewers, and readers, ensure the highest standards of research communication within the cancer sciences community across Asia as well as globally. The APJCP publishes original research results under the following categories: -Epidemiology, detection and screening. -Cellular research and bio-markers. -Identification of bio-targets and agents with novel mechanisms of action. -Optimal clinical use of existing anti-cancer agents, including combination therapies. -Radiation and surgery. -Palliative care. -Patient adherence, quality of life, satisfaction. -Health economic evaluations.
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