Suppr超能文献

鉴定前列腺癌中雄激素受体的合适拮抗剂:基于计算机的葫芦巴化合物研究。

Identification of apposite antagonist for androgen receptor in prostate cancer: an in silico study of fenugreek compounds.

机构信息

Molecular Biology and Simulation Center, Ado-Ekiti, Ekiti State, Nigeria.

Department of Biochemistry, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria.

出版信息

J Biomol Struct Dyn. 2024;42(23):12918-12934. doi: 10.1080/07391102.2023.2273988. Epub 2023 Oct 28.

Abstract

Benign Prostate Cancer (BPC), a prevalent condition predominantly affecting elderly males, manifests with voiding difficulties and urinary retention. A library of compounds from , commonly known as fenugreek was used in this study. We aimed to explore its potential anti-cancer effects by computationally assessing its inhibitory activity on the androgen receptor (AR). For in-silico drug assessment, we employed Maestro 12.8, part of the Schrödinger Suite, to identify the most promising candidates acting as androgen receptor antagonists in the treatment of BPC. Subsequently, 59 fenugreek compounds were retrieved from the PubChem database and subjected to molecular docking against the active site of the target protein, 1E3G. 100-nanosecond molecular dynamics (MD) simulations were performed to assess the stability and compactness of the AR-ligand complexes. Notably, the AR-kaempferol complex exhibited the least fluctuation within the AR active site throughout the simulation trajectory, followed by chlorogenic acid and the reference ligand, hydroxyflutamide. The MM/GBSA values revealed the compounds' maximum free binding energy (-103.3 ± 6, -87.4 ± 23, -68.5 ΔG) for chlorogenic acid, kaempferol, and hydroxyflutamide, respectively. These findings suggest their potential as promising leads for drug development. Further lead optimization and comprehensive studies on the top-ranked ligands identified in this investigation are warranted to advance their potential as therapeutic agents for BPC treatment.Communicated by Ramaswamy H. Sarma.

摘要

良性前列腺癌(BPC)是一种常见于老年男性的疾病,主要表现为排尿困难和尿潴留。本研究使用了来自香豆素的化合物库,通常称为胡芦巴。我们旨在通过计算评估其对雄激素受体(AR)的抑制活性来探索其潜在的抗癌作用。在计算机药物评估中,我们使用 Schrödinger 套件的一部分 Maestro 12.8 来识别最有前途的候选药物,这些药物可作为治疗 BPC 的雄激素受体拮抗剂。随后,从 PubChem 数据库中检索到 59 种胡芦巴化合物,并对目标蛋白 1E3G 的活性部位进行分子对接。进行了 100 纳秒的分子动力学(MD)模拟,以评估 AR-配体复合物的稳定性和紧凑性。值得注意的是,在整个模拟轨迹中,AR-山奈酚复合物在 AR 活性部位的波动最小,其次是绿原酸和参比配体羟基氟他胺。MM/GBSA 值揭示了化合物的最大自由结合能(-103.3 ± 6、-87.4 ± 23、-68.5 ΔG)分别为绿原酸、山奈酚和羟基氟他胺。这些发现表明它们有潜力成为有前途的药物开发先导化合物。需要进一步优化先导化合物并对本研究中鉴定出的排名靠前的配体进行综合研究,以推进它们作为治疗 BPC 的治疗剂的潜力。由 Ramaswamy H. Sarma 传达。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验