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Binding Free Energies of Host-Guest Systems by Nonequilibrium Alchemical Simulations with Constrained Dynamics: Theoretical Framework

机译:通过非限制动态的非QuiLibrium炼金术模拟绑定了主机系统的无限能量:理论框架

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The fast-switching decoupling method is a powerful nonequilibrium technique to compute absolute binding free energies of ligand-receptor complexes (Sandberg et al., J. Chem. Theory Comput. 2014, 11, 423-435). Inspired by the theory of noncovalent binding association of Gilson and co-workers (Biophys. J. 1997, 72, 1047-100), we develop two approaches, termed binded-domain and single-point alchemical-path schemes (BiD-AP and SiP-AP), based on the possibility of performing alchemical trajectories during which the ligand is constrained to fixed positions relative to the receptor. The BiD-AP scheme exploits a recent generalization of nonequilibrium work theorems to estimate the free energy difference between the coupled and uncoupled states of the ligand receptor complex. With respect to the fast-switching decoupling method without constraints, BiD-AP prevents the ligand from leaving the binding site, but still requires an estimate of the positional binding-site volume, which may not be a simple task. On the other side, the SiP-AP scheme allows avoidance of the calculation of the binding-site volume by introducing an additional equilibrium simulation of ligand and receptor in the bound state. In the companion article (DOI: 10.1021/acs.jctc.7b00595), we show that the extra computational effort required by SiP-AP leads to a significant improvement of accuracy in the free energy estimates.
机译:快速切换去耦方法是一种强大的非QuiLibribrium技术,用于计算配体受体复合物的绝对结合能量(Sandberg等,J.Chem。理论计算。2014,11,423-435)。灵感来自吉尔逊和同事的非共价结合协会理论(Biophys。J. 1997,72,1047-100),我们开发了两种方法,称为绑定域和单点炼金术路径方案(BID-AP和基于在相对于受体的情况下进行炼金术轨迹的可能性,基于在其中进行炼金术轨迹的可能性。 BID-AP方案利用NOTQUIBIBRIB工作定理的最新概括来估计配体受体复合物的偶联和未耦合状态之间的自由能差。关于没有约束的快速切换去耦方法,BID-AP防止配体离开结合位点,但仍需要估计位置结合现场体积,这可能不是一个简单的任务。在另一边,SIP-AP方案允许通过在结合状态下引入配体和受体的另外的平衡模拟来避免结合位点体积的计算。在同伴文章(DOI:10.1021 / ACS.JCTC.7B00595)中,我们表明SIP-AP所需的额外计算工作导致自由能量估算中的准确性的显着提高。

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