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首页> 外文期刊>Journal of chemical information and modeling >Catching Functional Modes and Structural Communication in Dbl Family Rho Guanine Nucleotide Exchange Factors
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Catching Functional Modes and Structural Communication in Dbl Family Rho Guanine Nucleotide Exchange Factors

机译:在Dbl家族Rho鸟嘌呤核苷酸交换因子中捕捉功能模式和结构交流。

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摘要

Computational approaches such as Principal Component Analysis (PCA) and Elastic Network Model-Normal Mode Analysis (ENM-NMA) are proving to be of great value in investigating relevant biological problems linked to slow motions with no demand in computer power. In this study, these approaches have been coupled to the graph theory-based Protein Structure Network (PSN) analysis to dissect functional dynamics and structural communication in the Dbl family of Rho Guanine Nucleotide Exchange Factors (Rho GEFs). They are multidomain proteins whose common structural feature is a DH-PH tandem domain deputed to the GEF activity that makes them play a central role in cell and cancer biology. While their common GEF action is accomplished by the DH domain, their regulatory mechanisms are highly variegate and depend on the PH and the additional domains as well as on interacting proteins. Major evolutionary-driven deformations as inferred from PCA concern the alpha 6 helix of DH that dictates the orientation of the PH domain. Such deformations seem to depend on the mechanisms adopted by the GEF to prevent Rho binding, i.e. functional specialization linked to autoinhibition. In line with PCA, ENM-NMA indicates alpha 6 and the linked PH domain as the portions of the tandem domain holding almost the totality of intrinsic and functional dynamics, with the alpha 6/beta 1 junction acting as a hinge point for the collective motions of PH. In contrast, the DH domain holds a static scaffolding and hub behavior, with structural communication playing a central role in the regulatory actions by other domains/proteins. Possible allosteric communication pathways involving essentially DH were indeed found in those RhoGEFs acting as effectors of small or heterotrimeric RasGTPases. The employed methodology is suitable for deciphering structure/dynamics relationships in large sets of homologous or analogous proteins.
机译:事实证明,诸如主成分分析(PCA)和弹性网络模型-正常模式分析(ENM-NMA)之类的计算方法在研究与慢动作相关的生物学问题方面具有重要价值,而无需计算机能力。在这项研究中,这些方法已与基于图论的蛋白质结构网络(PSN)分析相结合,以剖析Rho鸟嘌呤核苷酸交换因子(Rho GEFs)Dbl家族中的功能动力学和结构通讯。它们是多结构域蛋白,其共同的结构特征是被称为GEF活性的DH-PH串联结构域,这使它们在细胞和癌症生物学中起着核心作用。尽管它们的通用GEF作用是通过DH域完成的,但它们的调控机制却是高度多样化的,并且取决于PH和其他域以及相互作用的蛋白质。从PCA推断,主要的进化驱动变形与DH的α6螺旋有关,决定了PH域的方向。这种变形似乎取决于GEF采用的防止Rho结合的机制,即与自抑制有关的功能专一化。与PCA一致,ENM-NMA将alpha 6和链接的PH域指示为串联域的一部分,几乎保留了全部内在和功能动力学,而alpha 6 / beta 1交界处充当集体运动的枢纽点的PH。相比之下,DH结构域具有静态的支架和集线器行为,结构通讯在其他结构域/蛋白质的调节作用中起着核心作用。确实在那些充当小或异三聚体RasGTP酶的效应子的RhoGEFs中发现了可能涉及基本为DH的变构通讯途径。所采用的方法学适用于破译大量同源或类似蛋白质中的结构/动力学关系。

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