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网络集成和蛋白质结构结合分析与神经退行相关的相互作用体

Hongjun Chen¹, Yekai Zhou², Yongjing Liu³

¹Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Briefings in bioinformatics

|June 23, 2023

概括

这项研究系统地挖掘了致病性蛋白质及其在神经退行性疾病 (ND) 中的相互作用. 为可视化这些复杂的蛋白质网络和潜在的治疗点,创建了一个新的交互式3D地图集 (NDAtlas).

科学领域:

生物化学生物化学
计算生物学计算生物学
神经科学是一个神经科学.

背景情况:

神经退行性疾病 (NDs) 与病态蛋白质聚合和分子相互作用有关.
对蛋白相互作用体的系统分析对于确定治疗点至关重要.
了解蛋白质结合区域有助于功能蛋白质组学和相互作用预测.

研究的目的:

系统地挖掘和分析致病蛋白质及其在NDS中的相互作用网络.
开发一个全面的工作流程,以整合和可视化与疾病相关的蛋白质与蛋白质相互作用 (PPI).
为探索蛋白质对接和结构信息,构建一个交互式3D地图集 (NDAtlas).

主要方法:

综合生物医学研究数据,以识别致病蛋白及其相互作用.
开发了一种工作流程,用于 ND 相关 PPI 的集体信息和交互式可视化.
纳入蛋白质异构体并将它们映射到与疾病相关的PPI网络中.
分析了疾病和生物过程丰富的蛋白质,以揭示调节模块.
创建了一个具有结构亲和信息的高分辨率网络.

主要成果:

实现了对致病蛋白及其在NDS中的相互作用网络的系统挖掘和分析.
建立了一个工作流程,用于收集与ND相关的PPI的集体信息和交互式可视化,包括蛋白质异型.
丰富分析确定了可能的监管模块.
创建了一个具有结构亲和信息的高分辨率网络.
建立了神经退行性疾病图谱 (NDAtlas),提供了蛋白质对接的交互式3D视图.

结论:

开发的工作流允许系统地挖掘和分析NDs中的病原蛋白质.
NDAtlas提供了一个直观的平台,用于可视化复杂的蛋白质相互作用和结构数据.
该资源促进了新型治疗点的发现,并促进了神经退行性疾病研究中的功能性蛋白质组学.

关键词:

网络可视化网络可视化神经退行性疾病是一种神经退行性疾病.蛋白质对接的对接方式蛋白质的异形蛋白质.蛋白质蛋白质相互作用

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