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预测 提取物对花生四烯酸代谢网络中多酶抑制的作用。

Predicting multi-enzyme inhibition in the arachidonic acid metabolic network by extracts.

机构信息

Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh.

Department of Biochemistry and Molecular Biology, Faculty of Biological Science, University of Dhaka, Dhaka, Bangladesh.

出版信息

J Biomol Struct Dyn. 2022 Jun;40(9):4259-4272. doi: 10.1080/07391102.2020.1855248. Epub 2020 Dec 7.

DOI:10.1080/07391102.2020.1855248
PMID:33283657
Abstract

is a mangrove plant with a rich history of ethnomedicinal usage against chronic inflammation. Biochemical analyses of have exposed a plethora of bioactive phytochemicals that contribute to this therapeutic effect by perturbing enzymes of a complex inflammatory network mediated by arachidonic acid (AA) metabolism. This study is the first instance of utilizing cheminformatic approaches to elucidate a molecular linkage between these phytochemical interventions and the multi-enzyme AA metabolic network regulation. Analysis of the simulations reflects as a functional reservoir of multiple safe and potent natural anti-inflammatory compounds. The investigation suggests two phytocompounds extracted from the plant: a sesquiterpene lactone and a flavone glycoside, as candidate inhibitors of multiple catalytic checkpoints of the inflammatory network. The outcomes of this research act as a primary guideline for future laboratory and clinical testing of anti-inflammatory potentials of as an exploitable source of safe and potent drug-like molecules.Communicated by Ramaswamy H. Sarma.

摘要

是一种红树林植物,具有丰富的用于治疗慢性炎症的传统医学用途的历史。对 进行的生化分析揭示了大量生物活性植物化学物质,这些物质通过干扰花生四烯酸(AA)代谢介导的复杂炎症网络中的酶来发挥这种治疗作用。本研究首次利用计算化学方法阐明了这些植物化学干预措施与多酶 AA 代谢网络调节之间的分子联系。模拟分析反映 是多种安全有效的天然抗炎化合物的功能库。该研究表明,从植物中提取的两种植物化合物:一种倍半萜内酯和一种黄酮糖苷,可作为炎症网络多个催化检查点的候选抑制剂。这项研究的结果为未来作为安全有效的类药分子可开发来源的抗炎潜力的实验室和临床测试提供了初步指导。由 Ramaswamy H. Sarma 传达。

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