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重新审视自由能计算:与MM/PBSA的理论联系及结合自由能的直接计算

Revisiting free energy calculations: a theoretical connection to MM/PBSA and direct calculation of the association free energy.

作者信息

Swanson Jessica M J, Henchman Richard H, McCammon J Andrew

机构信息

Howard Hughes Medical Institute, Center for Theoretical Biological Physics, Department of Chemistry and Biochemistry, La Jolla, California.

出版信息

Biophys J. 2004 Jan;86(1 Pt 1):67-74. doi: 10.1016/S0006-3495(04)74084-9.

Abstract

The prediction of absolute ligand-receptor binding affinities is essential in a wide range of biophysical queries, from the study of protein-protein interactions to structure-based drug design. End-point free energy methods, such as the Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) model, have received much attention and widespread application in recent literature. These methods benefit from computational efficiency as only the initial and final states of the system are evaluated, yet there remains a need for strengthening their theoretical foundation. Here a clear connection between statistical thermodynamics and end-point free energy models is presented. The importance of the association free energy, arising from one molecule's loss of translational and rotational freedom from the standard state concentration, is addressed. A novel method for calculating this quantity directly from a molecular dynamics simulation is described. The challenges of accounting for changes in the protein conformation and its fluctuations from separate simulations are discussed. A simple first-order approximation of the configuration integral is presented to lay the groundwork for future efforts. This model has been applied to FKBP12, a small immunophilin that has been widely studied in the drug industry for its potential immunosuppressive and neuroregenerative effects.

摘要

在从蛋白质-蛋白质相互作用研究到基于结构的药物设计等广泛的生物物理问题中,预测绝对配体-受体结合亲和力至关重要。终点自由能方法,如分子力学泊松-玻尔兹曼表面积(MM/PBSA)模型,在最近的文献中受到了广泛关注和应用。这些方法得益于计算效率,因为只评估系统的初始和最终状态,但仍需要加强其理论基础。本文提出了统计热力学与终点自由能模型之间的明确联系。讨论了由于一个分子从标准状态浓度失去平移和旋转自由度而产生的缔合自由能的重要性。描述了一种直接从分子动力学模拟计算该量的新方法。讨论了在单独模拟中考虑蛋白质构象变化及其波动的挑战。提出了构型积分的一个简单一阶近似,为未来的研究奠定基础。该模型已应用于FKBP12,一种在制药行业因其潜在的免疫抑制和神经再生作用而被广泛研究的小亲免素。

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