利用硅技术发现潜在的5α-还原酶植物化学抑制剂和促进头发生长的计算药物。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-05-06 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1570101
Behnam Hasannejad-Asl, Farkhondeh Pooresmaeil, Sareh Azadi, Ali Najafi, Ali Esmaeili, Saeid Bagheri-Mohammadi, Bahram Kazemi
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引用次数: 0

摘要

男性型脱发(MPHL),也被称为雄激素性脱发(AGA),是一种常见的疾病,主要由双氢睾酮(DHT)引起。美国食品和药物管理局(FDA)已经批准了两种5- α还原酶(5-AR)抑制剂——非那雄胺和杜他雄胺——用于治疗这种疾病。然而,最近的研究报告了使用这些药物的年轻男性的不良性副作用和精子产生问题。也有建议有效地治疗脱发的自然疗法,如荨麻(荨麻),Serenoa repens(锯棕榈),葫芦巴(葫芦巴),主要用于减少脱发的传统医学。研究表明,这些草药配方和植物提取物可能有助于减少脱发。然而,这些草药提取物中活性化合物的浓度通常很低,因此需要大量的提取物才能对头发生长产生明显的影响。尽管许多研究调查了这些草药提取物对头发生长的影响,但很少有研究关注影响脱发分子机制的特定化合物,特别是对5-AR的抑制。方法:首次采用计算研究的方法,对从这些药材中提取的植物化学物质进行研究,以鉴定能有效结合和抑制5-AR的化合物。此外,我们通过对脂质纳米颗粒(LNP)封装配体进行分子动力学(MD)模拟,评估了脂质纳米颗粒(LNP)封装配体的稳定性。我们利用在线数据库从荨麻,锯棕榈和胡芦巴提取物中鉴定化合物。然后,我们使用计算技术分析了它们与5-AR的结合亲和力。结果:我们发现6个分子- jamogenin, neodioosgenin,绿原酸,芦丁,核黄素和熊果酸-有效结合5-AR。此外,我们的计算机研究表明,囊泡包埋的JAMOGENIN与5-AR的结合更强,比未封装的形式更稳定。讨论:因此,这6种分子,特别是JAMOGENIN,无论是在未包被状态还是纳米载体包被状态下,都应该考虑进行实验分析,以促进毛囊的生长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotion using in silico techniques.

Introduction: Male pattern hair loss (MPHL), also known as androgenetic alopecia (AGA), is a common disorder primarily caused by dihydrotestosterone (DHT). The Food and Drug Administration (FDA) has approved two 5-alpha reductase (5-AR) inhibitors-finasteride and dutasteride-for treating this condition. However, recent studies have reported adverse sexual side effects and issues with sperm production in young men using these medications. There are also recommendations for effectively treating hair loss with natural remedies, such as Urtica dioica (nettle), Serenoa repens (saw palmetto), and Trigonella foenum-graecum (fenugreek) that is mainly used for diminish the hair loss in the traditional medicine. Research shows that these herbal formulations and plant extracts may help reduce hair loss. However, the concentration of active compounds in these herbal extracts is often low, necessitating a large extract volume to achieve noticeable effects on hair growth. Although many studies have investigated the effects of these herbal extracts on hair growth, fewer studies focus on the specific compounds influencing the molecular mechanisms of hair loss, particularly the inhibition of 5-AR.

Methods: For the first time, we aimed to applied a computational study to explore the phytochemicals extracted from these herbs to identify compounds that can effectively bind to and inhibit 5-AR. Additionally, we assessed the stability of the ligands encapsulated in lipid nanoparticles (LNP) by conducting molecular dynamics (MD) simulations of the LNP-encapsulated ligands. We utilized an online database to identify compounds from the extracts of nettle, saw palmetto, and fenugreek. We then analyzed their binding affinity to 5-AR using computational techniques.

Results: We found that 6 molecules-Jamogenin, Neodiosgenin, Chlorogenic acid, Rutin, Riboflavin, and Ursolic acid-are effective in binding to 5-AR. Additionally, our in silico studies revealed that vesicle-entrapped JAMOGENIN, which has a stronger bond with 5-AR, is more stable than its unencapsulated form.

Discussion: Therefore, these 6 molecules, particularly JAMOGENIN, should be considered for experimental analysis in both their unencapsulated and nanocarrier-encapsulated states to promote hair follicle growth.

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