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引用次数: 0
摘要
炼金术自由能(AFE)计算可以预测作为结构修饰函数的结合亲和力变化,已成为先导优化和药物发现的强大工具。炼金术自由能计算的设置和性能的核心是映射炼金术转化的方式,即拓扑模型。单拓扑、双拓扑和混合拓扑模型已被用于该领域的各种 AFE 方法。在最近的工作中,λ 动力学(λD)自由能计算尤其倾向于使用混合多重拓扑(HMT)来采样多重配体扰动。在这项工作中,我们评估了一种名为 "配体叠加(LO)"的新拓扑方法,该方法适用于基于λD的计算,包括最近推出的λ-动力学偏置更新吉布斯采样(LaDyBUGS)方法。LO 是一个完整的多拓扑模型,允许在 λ 动力学框架内对整个配体进行采样和约束。利用 HMT 或 LO 拓扑模型和 LaDyBUGS 计算了五个蛋白质基准系统中 45 种配体的相对结合自由能。总体皮尔逊 R 相关性为 0.98,平均无符号误差为 0.32 kcal/mol,这表明 LO 是基于 λD 计算的一种可行的替代拓扑模型。我们讨论了在未来使用 λD 或 LaDyBUGS 计算进行配体研究时使用 HMT 或 LO 模型的优点。
Superimposing Ligands with a Ligand Overlay as an Alternate Topology Model for λ-Dynamics-Based Calculations.
Alchemical free energy (AFE) calculations can predict binding affinity changes as a function of structural modifications and have become powerful tools for lead optimization and drug discovery. Central to the setup and performance of AFE calculations is the manner of mapping alchemical transformations, known as the topology model. Single, dual, and hybrid topology models have been used with various AFE methods in the field. In recent works, λ-dynamics (λD) free energy calculations, specifically, have preferred the use of a hybrid multiple topology (HMT) for sampling multiple ligand perturbations. In this work, we evaluate a new topology method called ligand overlay (LO) for use with λD-based calculations, including the recently introduced λ-dynamics with a bias-updated Gibbs sampling (LaDyBUGS) approach. LO is a full multiple topology model that allows entire ligands to be sampled and restrained within a λ-dynamics framework. Relative binding free energies were computed with HMT or LO topology models with LaDyBUGS for 45 ligands across five protein benchmark systems. An overall Pearson R correlation of 0.98 and mean unsigned error of 0.32 kcal/mol were observed, suggesting that LO is a viable alternative topology model for λD-based calculations. We discuss the merits of using an HMT or LO model for future ligand studies with λD or LaDyBUGS calculations.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.