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Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis

机译:通过马尔可夫状态模型和机器学习分析解决了昼夜节律蛋白Vivid的变构机理

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摘要

The fungal circadian clock photoreceptor Vivid (VVD) contains a photosensitive allosteric light, oxygen, voltage (LOV) domain that undergoes a large N-terminal conformational change. The mechanism by which a blue-light driven covalent bond formation leads to a global conformational change remains unclear, which hinders the further development of VVD as an optogenetic tool. We answered this question through a novel computational platform integrating Markov state models, machine learning methods, and newly developed community analysis algorithms. Applying this new integrative approach, we provided a quantitative evaluation of the contribution from the covalent bond to the protein global conformational change, and proposed an atomistic allosteric mechanism leading to the discovery of the unexpected importance of A’α/Aβ and previously overlooked Eα/Fα loops in the conformational change. This approach could be applicable to other allosteric proteins in general to provide interpretable atomistic representations of their otherwise elusive allosteric mechanisms.
机译:真菌生物钟生物钟感光体(VVD)包含一个感光的变构光,氧,电压(LOV)域,该域经历了较大的N端构象变化。蓝光驱动的共价键形成导致整体构象变化的机制仍不清楚,这阻碍了VVD作为光遗传学工具的进一步发展。我们通过集成了马尔可夫状态模型,机器学习方法和最新开发的社区分析算法的新型计算平台回答了这个问题。应用这种新的整合方法,我们对共价键对蛋白质整体构象变化的贡献进行了定量评估,并提出了一种原子学的变构机制,从而发现了A'α/Aβ和先前被忽略的Eα/ Fα循环构象变化。该方法通常可适用于其他变构蛋白,以提供其难以捉摸的变构机制的可解释的原子表示。

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