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用于评估蛋白质-配体结合亲和力的溶剂化相互作用能(SIE)。1. 探索参数空间。

Solvated interaction energy (SIE) for scoring protein-ligand binding affinities. 1. Exploring the parameter space.

作者信息

Naïm Marwen, Bhat Sathesh, Rankin Kathryn N, Dennis Sheldon, Chowdhury Shafinaz F, Siddiqi Imran, Drabik Piotr, Sulea Traian, Bayly Christopher I, Jakalian Araz, Purisima Enrico O

机构信息

Biotechnology Research Institute, National Research Council of Canada, 6100 Royalmount Avenue, Montreal, Quebec, Canada H4P 2R2.

出版信息

J Chem Inf Model. 2007 Jan-Feb;47(1):122-33. doi: 10.1021/ci600406v.

Abstract

We present a binding free energy function that consists of force field terms supplemented by solvation terms. We used this function to calibrate the solvation model along with the binding interaction terms in a self-consistent manner. The motivation for this approach was that the solute dielectric-constant dependence of calculated hydration gas-to-water transfer free energies is markedly different from that of binding free energies (J. Comput. Chem. 2003, 24, 954). Hence, we sought to calibrate directly the solvation terms in the context of a binding calculation. The five parameters of the model were systematically scanned to best reproduce the absolute binding free energies for a set of 99 protein-ligand complexes. We obtained a mean unsigned error of 1.29 kcal/mol for the predicted absolute binding affinity in a parameter space that was fairly shallow near the optimum. The lowest errors were obtained with solute dielectric values of Din = 20 or higher and scaling of the intermolecular van der Waals interaction energy by factors ranging from 0.03 to 0.15. The high apparent Din and strong van der Waals scaling may reflect the anticorrelation of the change in solvated potential energy and configurational entropy, that is, enthalpy-entropy compensation in ligand binding (Biophys. J. 2004, 87, 3035-3049). Five variations of preparing the protein-ligand data set were explored in order to examine the effect of energy refinement and the presence of bound water on the calculated results. We find that retaining water in the final protein structure used for calculating the binding free energy is not necessary to obtain good results; that is the continuum solvation model is sufficient. Virtual screening enrichment studies on estrogen receptor and thymidine kinase showed a good ability of the binding free energy function to recover true hits in a collection of decoys.

摘要

我们提出了一种结合自由能函数,该函数由力场项和溶剂化项组成,其中溶剂化项作为补充。我们使用此函数以自洽的方式校准溶剂化模型以及结合相互作用项。采用这种方法的动机是,计算得到的水合气体到水的转移自由能对溶质介电常数的依赖性与结合自由能的依赖性明显不同(《计算化学杂志》,2003年,第24卷,第954页)。因此,我们试图在结合计算的背景下直接校准溶剂化项。系统地扫描了该模型的五个参数,以最佳地重现一组99个蛋白质 - 配体复合物的绝对结合自由能。在接近最优值的相当浅的参数空间中,预测的绝对结合亲和力的平均无符号误差为1.29千卡/摩尔。当溶质介电值Din = 20或更高,以及分子间范德华相互作用能按0.03至0.15的因子进行缩放时,可获得最低误差。较高的表观Din和较强的范德华缩放可能反映了溶剂化势能变化与构象熵之间的反相关性,即配体结合中的焓 - 熵补偿(《生物物理杂志》,2004年,第87卷,第3035 - 3049页)。为了研究能量优化和结合水的存在对计算结果的影响,探索了制备蛋白质 - 配体数据集的五种变体。我们发现,在用于计算结合自由能的最终蛋白质结构中保留水对于获得良好结果并非必要;也就是说,连续溶剂化模型就足够了。对雌激素受体和胸苷激酶的虚拟筛选富集研究表明,结合自由能函数在一组诱饵中具有很好的找回真实命中物的能力。

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