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基于无偏分子动力学的[NiFe]氢化酶中的对称配体结合途径和双态瓶颈

Symmetric Ligand Binding Pathways and Dual-State Bottleneck in [NiFe] Hydrogenases from Unbiased Molecular Dynamics.

作者信息

Sohraby Farzin, Nunes-Alves Ariane

机构信息

Institute of Chemistry, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany.

出版信息

J Phys Chem Lett. 2025 Aug 7;16(31):7960-7967. doi: 10.1021/acs.jpclett.5c01673. Epub 2025 Jul 29.

Abstract

[NiFe] hydrogenases make up a family of enzymes that can be used to produce biofuel, thus making them important for industrial applications. In this work, we utilized unbiased molecular dynamics simulations to capture binding and unbinding events of the substrate, H, to and from the [NiFe] hydrogenases from two different organisms. We obtained multiple (un)binding events and reproduced experimental association rate constants. We observed symmetry between the binding and unbinding pathways used by H to access and leave the catalytic site. Moreover, we found that the main bottleneck for ligand binding, the distance between residues V74 and L122, can shift between two states with different bottleneck widths, a feature which can be exploited to modulate the access of small molecules to the catalytic site. The pathway probabilities presented here can be used to benchmark enhanced sampling methods which investigate protein-ligand binding.

摘要

[镍铁]氢化酶构成了一类可用于生产生物燃料的酶,因此它们在工业应用中具有重要意义。在这项工作中,我们利用无偏分子动力学模拟来捕捉底物H与来自两种不同生物体的[镍铁]氢化酶之间的结合和解离事件。我们获得了多个(解)结合事件,并重现了实验关联速率常数。我们观察到H进入和离开催化位点所使用的结合和解离途径之间的对称性。此外,我们发现配体结合的主要瓶颈,即残基V74和L122之间的距离,可以在具有不同瓶颈宽度的两种状态之间转换,这一特征可用于调节小分子进入催化位点。这里呈现的途径概率可用于对研究蛋白质-配体结合的增强采样方法进行基准测试。

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