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新型潜在活性油菜素内酯类似物的计算机模拟鉴定

In silico identification of new potentially active brassinosteroid analogues.

作者信息

Moreno-Castillo Elena, Ramírez-Echemendía Daniel P, Hernández-Campoalegre Giselle, Mesa-Tejeda Dayana, Coll-Manchado Francisco, Coll-García Yamilet

机构信息

Center for Natural Products Research, Faculty of Chemistry, Havana University, Zapata and G St., Vedado, 10400 Havana, Cuba.

Faculty of Biology, Havana University, 25 and J St., Vedado, 10400 Havana, Cuba.

出版信息

Steroids. 2018 Oct;138:35-42. doi: 10.1016/j.steroids.2018.06.009. Epub 2018 Jul 8.

DOI:10.1016/j.steroids.2018.06.009
PMID:29997046
Abstract

Brassinosteroids (BRs) are hormones found in a wide range of plant species, they are synthesized at low concentrations and are essential for normal growth and development. These phytohormones are recognized by the Leucine-rich-repeat ectodomain of the receptor-like-kinase BRI1 which leads to subsequent downstream signaling mediating plant growth/development. In spite of the advantages that BRs offer, their extraction from natural sources is highly expensive, which constitutes one of its major limitations. Thus, the design and synthesis of structural and/or functional analogues of BRs with higher activity and lower cost has a great practical significance in world agriculture. In this matter, in silico methods, such as molecular docking, are valuable tools for the prediction and design of new compounds with improved activity. In this work we performed molecular docking simulations of 20 synthetic steroids in order to identify active compounds. Contact based analysis, level of exposure of polar groups to the solvent and binding affinity were the parameters used to consider if a synthetic steroid was active. Our results suggested that 17 out of a total of 20 of the analyzed steroids can potentially activate BRI1 receptor.

摘要

油菜素甾醇(BRs)是在多种植物物种中发现的激素,它们以低浓度合成,对正常生长和发育至关重要。这些植物激素被类受体激酶BRI1富含亮氨酸重复序列的胞外结构域识别,从而导致随后介导植物生长/发育的下游信号传导。尽管BRs具有诸多优势,但其从天然来源提取的成本非常高,这构成了其主要限制之一。因此,设计和合成具有更高活性和更低成本的BRs结构和/或功能类似物在世界农业中具有重大的实际意义。在这方面,诸如分子对接等计算机模拟方法是预测和设计具有改进活性的新化合物的有价值工具。在这项工作中,我们对20种合成甾体进行了分子对接模拟,以鉴定活性化合物。基于接触的分析、极性基团暴露于溶剂的程度和结合亲和力是用于判断合成甾体是否具有活性的参数。我们的结果表明,在所分析的总共20种甾体中,有17种可能激活BRI1受体。

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