Voß Béla, Seifert Reinhard, Kaupp U Benjamin, Grubmüller Helmut
Department for Theoretical and Computational Biophysics, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany.
Center of Advanced European Studies and Research, Bonn, Germany.
Biophys J. 2016 Oct 18;111(8):1668-1678. doi: 10.1016/j.bpj.2016.09.014.
Ligand-protein binding processes are essential in biological systems. A well-studied system is the binding of cyclic adenosine monophosphate to the cyclic nucleotide binding domain of the bacterial potassium channel MloK1. Strikingly, the measured on-rate for cyclic adenosine monophosphate binding is two orders of magnitude slower than a simple Smoluchowski diffusion model would suggest. To resolve this discrepancy and to characterize the ligand-binding path in structural and energetic terms, we calculated 1100 ligand-binding molecular dynamics trajectories and tested two scenarios: In the first scenario, the ligand transiently binds to the protein surface and then diffuses along the surface into the binding site. In the second scenario, only ligands that reach the protein surface in the vicinity of the binding site proceed into the binding site. Here, a binding funnel, which increasingly confines the translational as well as the rotational degrees of freedom, determines the binding pathways and limits the on-rate. From the simulations, we identified five surface binding states and calculated the rates between these surface binding states, the binding site, and the bulk. We find that the transient binding of the ligands to the surface binding states does not affect the on-rate, such that this effect alone cannot explain the observed low on-rate. Rather, by quantifying the translational and rotational degrees of freedom and by calculating the binding committor, our simulations confirmed the existence of a binding funnel as the main bottleneck. Direct binding via the binding funnel dominates the binding kinetics, and only ∼10% of all ligands proceed via the surface into the binding site. The simulations further predict an on-rate between 15 and 40μs(mol/l), which agrees with the measured on-rate.
配体 - 蛋白质结合过程在生物系统中至关重要。一个经过充分研究的系统是环磷酸腺苷与细菌钾通道MloK1的环核苷酸结合域的结合。令人惊讶的是,测得的环磷酸腺苷结合的结合速率比简单的斯莫卢霍夫斯基扩散模型所预测的慢两个数量级。为了解决这一差异并从结构和能量角度表征配体结合路径,我们计算了1100条配体结合分子动力学轨迹,并测试了两种情况:在第一种情况中,配体短暂地结合到蛋白质表面,然后沿表面扩散到结合位点。在第二种情况中,只有那些在结合位点附近到达蛋白质表面的配体才进入结合位点。在这里,一个逐渐限制平动和转动自由度的结合漏斗决定了结合路径并限制了结合速率。通过模拟,我们确定了五个表面结合状态,并计算了这些表面结合状态、结合位点和本体之间的速率。我们发现配体与表面结合状态的短暂结合不会影响结合速率,因此仅这种效应无法解释观察到的低结合速率。相反,通过量化平动和转动自由度并计算结合反应坐标,我们的模拟证实了存在一个作为主要瓶颈的结合漏斗。通过结合漏斗的直接结合主导了结合动力学,并且所有配体中只有约10%通过表面进入结合位点。模拟进一步预测结合速率在15至40μs(mol / l)之间,这与测得的结合速率一致。