更新α-曼戈斯汀化合物的药理作用并揭示其作用机制:计算研究综述。

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL
Drug Design, Development and Therapy Pub Date : 2024-10-24 eCollection Date: 2024-01-01 DOI:10.2147/DDDT.S478388
Cecep Suhandi, Gofarana Wilar, Angga Cipta Narsa, Ahmed Fouad Abdelwahab Mohammed, Ali El-Rayyes, Muchtaridi Muchtaridi, Shaharum Shamsuddin, Sabreena Safuan, Nasrul Wathoni
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引用次数: 0

摘要

α-山竹素最初于 1855 年被发现,是一种主要存在于山竹果(Garcinia mangostana L)果皮中的氧杂蒽酮衍生物化合物。这种化合物以其作为抗氧化剂和抗炎剂的有益特性而闻名,并有望对其他相关病症产生潜在的益处。在研究过程中,计算研究已被证明在提供证据和进行临床前和临床研究前的初步筛选方面极具价值。本综述旨在介绍基于计算研究的α-曼戈斯汀的药理学发现和作用机制。本综述的编写基于对从 PubMed、Scopus 和 ScienceDirect 数据库中获取的相关文章的分析。研究首先阐明了 α-曼戈斯汀的理化特性、药物亲和性、药代动力学和毒性特征,表明 α-曼戈斯汀符合利宾斯基五项原则,在吸收、分布、代谢和排泄方面表现良好,且毒性较低。随后的研究发现,利用 ArgusLab、AutoDock、AutoDock Vina、Glide、HEX 和 MOE 等各种软件工具进行的计算研究对于理解 α-曼戈斯汀的药理学至关重要。除了作为抗氧化剂和抗炎剂的公认作用外,α-曼戈斯汀现在还被认为对阿尔茨海默病、糖尿病、癌症、慢性肾病、慢性牙周炎、传染病和类风湿性关节炎具有药理作用。此外,α-曼戈斯汀预计还可应用于疼痛治疗和强效杀蚊虫幼虫剂。所有这些发现都是基于与每种病理情况相关的特定靶受体达到足够的结合亲和力。因此,预计这些发现将为今后的科学研究奠定基础,包括体外和体内研究以及临床调查,以便更好地了解α-曼戈斯汀的药理作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Updating the Pharmacological Effects of α-Mangostin Compound and Unraveling Its Mechanism of Action: A Computational Study Review.

α-Mangostin, initially identified in 1855, is a xanthone derivative compound predominantly located in the pericarp of the mangosteen fruit (Garcinia mangostana L). This compound is known for its beneficial properties as an antioxidant and anti-inflammatory agent, still holding promise for potential benefits in other related pathologies. In the investigative process, computational studies have proven highly valuable in providing evidence and initial screening before progressing to preclinical and clinical studies. This review aims to present the pharmacological findings and mechanisms of action of α-mangostin based on computational studies. The compilation of this review is founded on the analysis of relevant articles obtained from PubMed, Scopus, and ScienceDirect databases. The study commences with an elucidation of the physicochemical characteristics, drug-likeness, pharmacokinetics, and toxicity profile of α-mangostin, which demonstrates that α-mangostin complies with the Lipinski's Rule of Five, exhibits favorable profiles of absorption, distribution, metabolism, and excretion, and presents low toxicity. Subsequent investigations have revealed that computational studies employing various software tools including ArgusLab, AutoDock, AutoDock Vina, Glide, HEX, and MOE, have been pivotal to comprehend the pharmacology of α-mangostin. Beyond its well established roles as an antioxidant and anti-inflammatory agent, α-mangostin is now recognized for its pharmacological effects in Alzheimer's disease, diabetes, cancer, chronic kidney disease, chronic periodontitis, infectious diseases, and rheumatoid arthritis. Moreover, α-mangostin is projected to have applications in pain management and as a potent mosquito larvicide. All of these findings are based on the attainment of adequate binding affinity to specific target receptors associated with each respective pathological condition. Consequently, it is anticipated that these findings will serve as a foundation for future scientific endeavours, encompassing both in vitro and in vivo studies, as well as clinical investigations, to better understand the pharmacological effects of α-mangostin.

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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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