Alonso-Cotchico Lur, Rodríguez-Guerra Pedregal Jaime, Lledós Agustí, Maréchal Jean-Didier
Departament de Química, Universitat Autònoma de Barcelona, Barcelona, Spain.
Stratingh Institute for Chemistry, University of Groningen, Groningen, Netherlands.
Front Chem. 2019 Apr 10;7:211. doi: 10.3389/fchem.2019.00211. eCollection 2019.
The design of Artificial Metalloenzymes (ArMs), which result from the incorporation of organometallic cofactors into biological structures, has grown steadily in the last two decades and important new-to-Nature reactions have been reached. These type of exercises could greatly benefit from an understanding of the structural impact that the inclusion of organometallic moieties may have on the biological host. To date though, our understanding of this phenomenon is highly partial. This lack of knowledge is one of the elements that condition that first-generation ArMs generally display relatively poor catalytic profiles. In this work, we approach this matter by assessing the dynamics and stability of a series of ArMs resulting from the inclusion, via different anchoring strategies, of a variety of organometallic cofactors into the Lactococcal multidrug resistance regulator (LmrR) protein. To this aim, we coupled standard force field-based techniques such as Protein-Ligand Docking and Molecular Dynamics simulations with a variety of trajectory convergence analyses, capable of assessing both the stability and flexibility of the different systems under study upon the binding of cofactors. Together with the experimental evidence obtained in other studies, we provide an overview on how these changes can affect the catalytic outcomes obtained from the different ArMs. Fundamentally, our results show that the convergence analysis used in this work can assess how the inclusion of synthetic metallic cofactors in proteins can condition different structural modulations of their host. Those conformational modifications are key to the success of the desired catalytic activity and their proper identification can be wisely used to improve the quality and the rate of success of the ArMs.
人工金属酶(ArMs)是通过将有机金属辅因子引入生物结构而形成的,在过去二十年中其设计稳步发展,并实现了重要的新型天然反应。这类研究可以从了解有机金属部分的引入对生物宿主可能产生的结构影响中受益匪浅。然而,迄今为止,我们对这一现象的理解还非常有限。这种知识的缺乏是导致第一代ArMs通常表现出相对较差催化性能的因素之一。在这项工作中,我们通过评估一系列ArMs的动力学和稳定性来解决这个问题,这些ArMs是通过不同的锚定策略将多种有机金属辅因子引入乳酸乳球菌多药耐药调节蛋白(LmrR)中形成的。为此,我们将基于标准力场的技术(如蛋白质-配体对接和分子动力学模拟)与各种轨迹收敛分析相结合,这些分析能够评估在辅因子结合后所研究的不同系统的稳定性和灵活性。结合其他研究获得的实验证据,我们概述了这些变化如何影响从不同ArMs获得的催化结果。从根本上说,我们的结果表明,这项工作中使用的收敛分析可以评估蛋白质中合成金属辅因子的引入如何影响其宿主的不同结构调节。这些构象修饰是实现所需催化活性的关键,对其进行正确识别可以明智地用于提高ArMs的质量和成功率。