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Network‐Wide Screen Identifies Variation of Novel Precise On‐Module Targets Using Conformational Modudaoism

机译:网络范围的屏幕使用构象模数论确定新颖的精确模块上目标的变化

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Modular targeting is promising in drug research at the network level, but it is challenging to quantificationally identify the precise on‐modules. Based on a proposed Modudaoism (MD), we defined conserved MD (MDc) and varied MD (MDv) to quantitatively evaluate the conformational and energy variations of modules, and thereby identify the conserved and discrepant allosteric modules (AMs). Compared to the Z summary , MDc/MDv got an optimized result of module preserved ratio and modular structure. In the mice anti‐ischemic networks, 3, 5, and 1 conserved AMs as well as 4, 1, and 3 on‐modules of baicalin (BA), jasminoidin (JA), and ursodeoxycholic acid (UA) were identified by MDc and MDv, 5 unique AMs and their characteristic actions were revealed. Besides, co‐immunoprecipitation (Co‐IP) experiments validated the representative modular structure. MDc/MDv method can quantitatively define the conformational variations of modules and screen the precise on‐modules network‐wide, which may provide a promising strategy for drug discovery.
机译:模块化靶向在网络层面的药物研究中很有前途,但是对定量识别精确的模块上的模块提出挑战。基于拟议的Modudaoism(MD),我们定义了保守的MD(MDc)和变化的MD(MDv),以定量评估模块的构象和能量变化,从而确定保守和差异的变构模块(AMs)。与Z摘要相比,MDc / MDv得到了模块保留率和模块结构的优化结果。在小鼠抗缺血网络中,通过MDc和HPLC鉴定出3、5和1个保守的AM,黄ical素(BA),茉莉素(JA)和熊去氧胆酸(UA)的模块上4,3和5。揭示了MDv,5个独特的AM和它们的特征动作。此外,免疫共沉淀(Co-IP)实验验证了代表性的模块化结构。 MDc / MDv方法可以定量定义模块的构象变化,并在全网范围内筛选精确的模块上,这可能为药物发现提供有希望的策略。

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