Dahlke Katelyn, Sing Charles E
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Biophys J. 2017 Feb 7;112(3):543-551. doi: 10.1016/j.bpj.2016.11.3198. Epub 2016 Dec 21.
Recent experimental work has demonstrated facilitated dissociation of certain nucleoid-associated proteins that exhibit an unbinding rate that depends on the concentration of freely diffusing proteins or DNA in solution. This concentration dependence arises due to binding competition with these other proteins or DNA. The identity of the binding competitor leads to different qualitative trends, motivating an investigation to understand observed differences in facilitated dissociation. We use a coarse-grained simulation that takes into account the dimeric nature of many nucleoid-associated proteins by allowing an intermediate binding state. The addition of this partially bound state allows the protein to be unbound, partially bound, or fully bound to a DNA strand, leaving opportunities for other molecules in solution to participate in the unbinding mechanism. Previous models postulated symmetric binding energies for each state of the coarse-grained protein corresponding to the symmetry of the dimeric protein; this model relaxes this assumption by assigning different energies for the different steps in the unbinding process. Allowing different unbinding energies not only has equilibrium effects on the system, but kinetic effects as well. We were able to reproduce the unbinding trends seen experimentally for both DNA and protein competitors. All trends collapse to a universal curve regardless of the unbinding energies used or the identity of the dissociation facilitator, suggesting that facilitated dissociation can be described with a single set of scaling parameters that are related to the energy landscape and geometric nature of the competitors.
最近的实验工作表明,某些类核相关蛋白的解离过程得到了促进,这些蛋白的解离速率取决于溶液中自由扩散的蛋白质或DNA的浓度。这种浓度依赖性是由于与其他蛋白质或DNA的结合竞争而产生的。结合竞争者的身份导致了不同的定性趋势,这促使我们进行研究以理解观察到的促进解离的差异。我们使用了一种粗粒度模拟,通过允许中间结合状态来考虑许多类核相关蛋白的二聚体性质。这种部分结合状态的加入使得蛋白质可以处于未结合、部分结合或完全结合到DNA链的状态,从而为溶液中的其他分子参与解离机制留下了机会。以前的模型假设粗粒度蛋白质的每个状态具有对称的结合能,这与二聚体蛋白质的对称性相对应;本模型通过为解离过程中的不同步骤分配不同的能量来放宽这一假设。允许不同的解离能不仅对系统有平衡影响,对动力学也有影响。我们能够重现实验中观察到的DNA和蛋白质竞争者的解离趋势。无论使用的解离能或解离促进剂的身份如何,所有趋势都汇聚到一条通用曲线上,这表明促进解离可以用一组与竞争者的能量景观和几何性质相关的缩放参数来描述。