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Conformational transitions of bio-molecular systems studied using adaptive bond bending elastic network model

机译:采用自适应债券弯曲弹性网络模型研究生物分子系统的构象转变

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Conformational transitions in proteins are essential for biological functions. Such transitions involve short-lived conformational states that are difficult to detect experimentally. Motivated by the utility and efficiency of elastic network models for describing the collective dynamics of proteins, in this study we present a new adaptive bond bending elastic network model for studying the conformational transition pathway of adenylate kinase and leucine transporter. Assuming that all the native contacts within these proteins are identical, we assigned a bond binding energy to the native contacts and computed the free energy of each image along the transition pathway. After plotting the free energy profiles, we found a few metastable intermediate states, separated by the free energy barriers. The observed intermediate states and the transition pathways for all proteins were in good agreement with those of the other methods and molecular dynamics simulations. Published under license by AIP Publishing.
机译:蛋白质中的构象过渡对于生物学功能至关重要。这种转变涉及难以通过实验检测的短寿命的构象状态。通过用于描述蛋白质的集体动态的弹性网络模型的实用性和效率,在本研究中,我们提出了一种新的自适应键弯曲弹性网络模型,用于研究腺苷酸激酶和亮氨酸转运蛋白的构象过渡途径。假设这些蛋白质中的所有本机触点是相同的,我们将键与天然触点的结合能量分配给天然触点并计算沿着过渡途径的每个图像的自由能。在绘制自由能量型材之后,我们发现一些亚稳态中间状态,由自由能屏障分开。观察到的中间状态和所有蛋白质的过渡途径与其他方法和分子动力学模拟的那些吻合良好。通过AIP发布在许可证下发布。

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