Suppr超能文献

从 中分离酚类化合物及其作为抗糖尿病药物的预测:分子对接和分子动力学模拟。

Isolation of phenolic compound from and its prediction as anti-diabetic agent using molecular docking and molecular dynamic simulation.

机构信息

Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia.

Department of Pharmacy, Faculty of Science and Technology, Universitas Mandala Waluya, Southeast Sulawesi, Indonesia.

出版信息

J Biomol Struct Dyn. 2024;42(21):11415-11424. doi: 10.1080/07391102.2023.2262595. Epub 2023 Sep 29.

Abstract

High blood sugar is a defining feature of chronic disease, diabetes mellitus (DM). There are numerous commercially available medications for the treatment of DM. However, managing the patient's glucose levels remain a challenge because of the gradual reduction in beta-cell function and some side effects from the long-term use of various medications. Previous research has shown that the phenolic compound of henna plant ( L.) has the potential as anti-diabetic agent since it is able to suppress the digesting of α-amylase enzyme. In these studies, the plant' phenolic compounds have been isolated and characterized using UV, IR, NMR and LC-MS methods. Furthermore, the compound interaction into the active site of the α-amylase enzyme has been analyzed using molecular docking and molecular dynamics, as well as into α-glucosidase enzyme for predicting of the affinities. The results showed that isolated compound has the molecular formula of CHO with eleven degrees of unsaturation (DBE; double bond equivalence). The DBE value corresponds to the structure of the luteolin compound having an aromatic ring (8), a carbonyl group on the side chain (1) and a ketone ring with (2). The interaction study of the isolated compound with α-amylase and α-glucosidase enzyme using molecular docking compared to the positive control (acarbose) gave binding energy of -8.03 and -8.95 kcal/mol, respectively. The molecular dynamics simulation using the MM-PBSA method, complex stability based on solvent accessible surface area (SASA), root mean square deviation (RMSD), and root mean square fluctuation (RMSF) revealed that the compound has a high affinity for receptors. The characteristics of skin permeability, absorption, and distribution using ADME-Tox model were also well predicted. The results indicate that the phenolic compound isolated from leaf was luteolin and it has the potential as an anti-diabetic agent.Communicated by Ramaswamy H. Sarma.

摘要

高血糖是慢性疾病(糖尿病)的一个显著特征。有许多市售的药物可用于治疗糖尿病。然而,由于β细胞功能逐渐下降,以及各种药物长期使用的一些副作用,患者的血糖水平仍然难以控制。先前的研究表明,指甲花植物(L.)的酚类化合物具有作为抗糖尿病药物的潜力,因为它能够抑制α-淀粉酶酶的消化。在这些研究中,使用 UV、IR、NMR 和 LC-MS 方法对植物的酚类化合物进行了分离和鉴定。此外,还使用分子对接和分子动力学分析了化合物与α-淀粉酶酶的活性部位的相互作用,并对α-葡萄糖苷酶进行了亲和力预测。结果表明,分离出的化合物的分子式为 CHO,具有 11 个不饱和度(DBE;双键等价物)。DBE 值对应于芦丁化合物的结构,该化合物具有芳环(8)、侧链上的羰基(1)和酮环(2)。与阳性对照(阿卡波糖)相比,使用分子对接研究分离出的化合物与α-淀粉酶和α-葡萄糖苷酶的相互作用,得到的结合能分别为-8.03 和-8.95 kcal/mol。使用 MM-PBSA 方法进行分子动力学模拟,根据溶剂可及表面积(SASA)、均方根偏差(RMSD)和均方根波动(RMSF)来评估复合物的稳定性,表明该化合物与受体具有高亲和力。使用 ADME-Tox 模型对其皮肤渗透性、吸收和分布特性也进行了很好的预测。结果表明,从叶子中分离出的酚类化合物是芦丁,它具有作为抗糖尿病药物的潜力。由 Ramaswamy H. Sarma 交流。

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