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コンピューティングを活用した寄生植物ストライガを抑制する生命機能分子の探索

コンピューティングを活用した寄生植物ストライガを抑制する生命機能分子の探索
利用计算寻找抑制寄生植物独脚金的生物功能分子
批准号:
17F17819
负责人:
TAMA FLORENCE
金额:
$1.41万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for JSPS Fellows
财政年份:
2017
资助国家:
日本
项目状态:
已结题
起止时间:
2017-11-10 至 2018-03-31
关键词:

项目摘要

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中文摘要
翻译
基于Striga受体ShHTL5的X射线晶体结构,建立并验证了ShHTL7的同源模型。此外,还建立了一组经过实验研究的HTL7突变体(受体活性部位的氨基酸残基变化)的模型。这些结构被提交给MD模拟,以探索它们的结构灵活性。对产生的MD轨迹的分析表明,与HTL5相比,HTL7蛋白螺旋在HTLS活性部位周围的可塑性明显更高。从HTL7到HTL5,柔性程度随单残基变化次数的增加而降低。HTL7中增加的灵活性与实验结果相一致,实验结果表明,与其他HTL相比,HTL7在配体结合方面更混杂。所开发的HTL7同源模型和已发表的HTL5结构被进一步用作诱导FIT对接实验验证的活性分子的基础。这些对接研究的目的是(I)通过计算评估被测试的小分子和STRGA受体的结构-活性关系,并确定导致受体调节的基本蛋白质-配体相互作用,以及(Ii)为后续的蛋白质-配体分子分子动力学模拟创建具有高效力分子的结构复合体。这些可以用于开发3D动力载体模型,从而允许对化学库进行虚拟筛选。
英文摘要
Based on X-ray crystal structure of Striga receptor ShHTL5, homology models of ShHTL7 were developed and validated. In addition, models of a collection of experimentally investigated HTL7 mutants (amino acid residue changes in the receptor’s active site) were created. These structures were submitted to MD simulations to explore their structural flexibility. The analyses of resulting MD trajectories showed significantly higher plasticity of HTL7 protein helices that surround the active site of HTLs compared to HTL5. The degree of flexibility decreases with increasing number of single residue changes from HTL7 towards HTL5. The increased flexibility in HTL7 is found to be in accordance with experimental assay results that indicate that HTL7 is more promiscuous with regard to ligand binding compared to other HTLs.The developed homology models of HTL7 and the published structure of HTL5 were further used as basis for induced fit docking studies with experimentally validated active molecules. The purpose of these docking studies was to (i) computationally assess the structure-activity relationship of tested small molecules and Striga receptors and to identify essential protein-ligand interactions that lead to receptor modulation, and (ii) to create an ensemble of structural complexes with highly potent molecules for subsequent protein-ligand MD simulations. These could be used for the development of 3D dynophore models that would allow virtual screening of chemical libraries.
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