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基于药物信息学的 Swartz. 果实中植物化学物质的鉴定,作为 MAPK14 蛋白潜在抑制剂。

Pharmacoinformatics-based identification of phytochemicals from Swartz. fruits as potential inhibitors for MAPK14 protein.

机构信息

Department of Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, India.

Medicinal Chemistry Research Laboratory, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani, India.

出版信息

J Biomol Struct Dyn. 2024 Sep;42(15):7795-7811. doi: 10.1080/07391102.2023.2246562. Epub 2023 Aug 15.

Abstract

Plants and phytocompounds gained more attention because of their unrivalled variety of chemical diversity. In this view, the present study was executed to predict the anticancer potential of Swartz. fruits derived phytocompounds against one of the breast cancer target proteins (MAPK14, PDB ID: 5ETA, resolution: 2.80 Å) through pharmacoinformatics-based screening and molecular dynamics simulation tools. Initially, a graph theoretical network approach was used to visualize the genes, enzymes, and proteins involved in the signalling pathway of breast cancer and identify the significant target protein (MAPK14). A total of thirty-three active compounds were selected from sw. through the IMPPAT database, and their structures were drawn by Chemsketch software. The drug-like behaviours of the compounds were assessed through pharmacokinetics and physicochemical characterization studies. Five compounds, namely chlorogenin (-10.90 kcal × mol), corosolic acid (-10.80 kcal × mol), solaspigenin (-10.80 kcal × mol), paniculogenin (-10.70 kcal × mol), spirostane-3,6-dione (-10.70 kcal × mol) exhibited top binding score against MAPK14, these are higher than that of the standard drug (Doxorubicin) (-8.60 kcal × mol). Additionally, the five top-binding compounds revealed better drug-likeness traits and the lowest toxicity profiles. MD simulation studies confirmed the stability of the top five scored compounds with the MAPK14 binding pockets. According to these findings, the selected five compounds might be used as significant MAPK14 inhibitors and can be used as new medicines for the treatment of breast cancer.Communicated by Ramaswamy H. Sarma.

摘要

由于其无与伦比的化学多样性,植物和植物化合物受到了更多的关注。有鉴于此,本研究通过基于计算化学的筛选和分子动力学模拟工具,预测了 Swartz. 果实衍生的植物化合物对一种乳腺癌靶蛋白(MAPK14,PDB ID:5ETA,分辨率:2.80 Å)的抗癌潜力。首先,使用图论网络方法来可视化乳腺癌信号通路中涉及的基因、酶和蛋白质,并确定重要的靶蛋白(MAPK14)。总共从 sw. 中选择了 33 种活性化合物通过 IMPPAT 数据库,并使用 Chemsketch 软件绘制它们的结构。通过药代动力学和物理化学特性研究评估化合物的类药性。五种化合物,即绿原酸(-10.90 kcal × mol)、熊果酸(-10.80 kcal × mol)、旋覆花属元(-10.80 kcal × mol)、 paniculogenin(-10.70 kcal × mol)、螺旋甾烷-3,6-二酮(-10.70 kcal × mol)对 MAPK14 的结合评分最高,均高于标准药物(阿霉素)(-8.60 kcal × mol)。此外,这五种结合能力最强的化合物表现出更好的类药性特征和最低的毒性特征。MD 模拟研究证实了这五种得分最高的化合物与 MAPK14 结合口袋的稳定性。根据这些发现,选择的五种化合物可能作为重要的 MAPK14 抑制剂,并可作为治疗乳腺癌的新药。由 Ramaswamy H. Sarma 传达。

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