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Exploring the Conformational Transitions of Biomolecular Systems Using a Simple Two-State Anisotropic Network Model

机译:使用简单的两态各向异性网络模型探索生物分子系统的构象转变

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摘要

Biomolecular conformational transitions are essential to biological functions. Most experimental methods report on the long-lived functional states of biomolecules, but information about the transition pathways between these stable states is generally scarce. Such transitions involve short-lived conformational states that are difficult to detect experimentally. For this reason, computational methods are needed to produce plausible hypothetical transition pathways that can then be probed experimentally. Here we propose a simple and computationally efficient method, called ANMPathway, for constructing a physically reasonable pathway between two endpoints of a conformational transition. We adopt a coarse-grained representation of the protein and construct a two-state potential by combining two elastic network models (ENMs) representative of the experimental structures resolved for the endpoints. The two-state potential has a cusp hypersurface in the configuration space where the energies from both the ENMs are equal. We first search for the minimum energy structure on the cusp hypersurface and then treat it as the transition state. The continuous pathway is subsequently constructed by following the steepest descent energy minimization trajectories starting from the transition state on each side of the cusp hypersurface. Application to several systems of broad biological interest such as adenylate kinase, ATP-driven calcium pump SERCA, leucine transporter and glutamate transporter shows that ANMPathway yields results in good agreement with those from other similar methods and with data obtained from all-atom molecular dynamics simulations, in support of the utility of this simple and efficient approach. Notably the method provides experimentally testable predictions, including the formation of non-native contacts during the transition which we were able to detect in two of the systems we studied. An open-access web server has been created to deliver ANMPathway results.
机译:生物分子构象转变对生物学功能至关重要。大多数实验方法都报告了生物分子的长寿功能状态,但有关这些稳定状态之间过渡路径的信息通常很少。这种转变涉及寿命短的构象状态,该状态很难通过实验检测。因此,需要使用计算方法来产生可能的假设转换路径,然后可以通过实验进行探索。在这里,我们提出了一种简单且计算有效的方法,称为ANMPathway,用于在构象转换的两个端点之间构建物理上合理的途径。我们采用蛋白质的粗粒度表示,并通过组合两个弹性网络模型(ENM)来代表端点解析的实验结构,从而构建了两个状态的电势。两种状态的电位在配置空间中都具有尖锐的超表面,在该空间中,两个ENM的能量相等。我们首先在尖点超表面上搜索最小能量结构,然后将其视为过渡态。连续路径随后通过遵循最陡的下降能量最小化轨迹来构造,该轨迹从尖顶表面的每一侧的过渡状态开始。在具有广泛生物学意义的几种系统上的应用,例如腺苷酸激酶,ATP驱动的钙泵SERCA,亮氨酸转运蛋白和谷氨酸转运蛋白,表明ANMPathway的收率与其他类似方法的收率和从全原子分子动力学模拟获得的数据吻合良好,以支持这种简单有效的方法的实用性。值得注意的是,该方法提供了可通过实验测试的预测,包括过渡过程中非本地接触的形成,我们能够在我们研究的两个系统中检测到。已创建一个开放式Web服务器来交付ANMPathway结果。

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