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在极性模型结合位点中使用炼金术自由能方法预测配体结合亲和力。

Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site.

作者信息

Boyce Sarah E, Mobley David L, Rocklin Gabriel J, Graves Alan P, Dill Ken A, Shoichet Brian K

机构信息

Graduate Group in Chemistry and Chemical Biology, University of California-San Francisco, San Francisco, CA 94158-2518, USA.

出版信息

J Mol Biol. 2009 Dec 11;394(4):747-63. doi: 10.1016/j.jmb.2009.09.049. Epub 2009 Sep 24.

DOI:10.1016/j.jmb.2009.09.049
PMID:19782087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2788029/
Abstract

We present a combined experimental and modeling study of organic ligand molecules binding to a slightly polar engineered cavity site in T4 lysozyme (L99A/M102Q). For modeling, we computed alchemical absolute binding free energies. These were blind tests performed prospectively on 13 diverse, previously untested candidate ligand molecules. We predicted that eight compounds would bind to the cavity and five would not; 11 of 13 predictions were correct at this level. The RMS error to the measurable absolute binding energies was 1.8 kcal/mol. In addition, we computed "relative" binding free energies for six phenol derivatives starting from two known ligands: phenol and catechol. The average RMS error in the relative free energy prediction was 2.5 kcal/mol (phenol) and 1.1 kcal/mol (catechol). To understand these results at atomic resolution, we obtained x-ray co-complex structures for nine of the diverse ligands and for all six phenol analogs. The average RMSD of the predicted pose to the experiment was 2.0 A (diverse set), 1.8 A (phenol-derived predictions), and 1.2 A (catechol-derived predictions). We found that predicting accurate affinities and rank-orderings required near-native starting orientations of the ligand in the binding site. Unanticipated binding modes, multiple ligand binding, and protein conformational change all proved challenging for the free energy methods. We believe that these results can help guide future improvements in physics-based absolute binding free energy methods.

摘要

我们展示了一项关于有机配体分子与T4溶菌酶(L99A/M102Q)中一个微极性工程化腔位点结合的实验与建模相结合的研究。对于建模,我们计算了炼金术绝对结合自由能。这些是对13种不同的、先前未经测试的候选配体分子进行的前瞻性盲测。我们预测8种化合物会与腔结合,5种不会;在这个层面上,13个预测中有11个是正确的。与可测量的绝对结合能的均方根误差为1.8千卡/摩尔。此外,我们从两种已知配体:苯酚和邻苯二酚出发,计算了六种苯酚衍生物的“相对”结合自由能。相对自由能预测的平均均方根误差为2.5千卡/摩尔(苯酚)和1.1千卡/摩尔(邻苯二酚)。为了在原子分辨率下理解这些结果,我们获得了9种不同配体以及所有6种苯酚类似物的X射线共复合物结构。预测构象与实验的平均均方根偏差为2.0埃(不同配体组)、1.8埃(苯酚衍生预测)和1.2埃(邻苯二酚衍生预测)。我们发现,预测准确的亲和力和排序需要配体在结合位点具有接近天然的起始取向。意外的结合模式、多个配体结合以及蛋白质构象变化对自由能方法来说都具有挑战性。我们相信这些结果有助于指导基于物理的绝对结合自由能方法未来的改进。

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本文引用的文献

1
Processing of X-ray diffraction data collected in oscillation mode.振荡模式下收集的X射线衍射数据的处理。
Methods Enzymol. 1997;276:307-26. doi: 10.1016/S0076-6879(97)76066-X.
2
Calculation of Standard Binding Free Energies:  Aromatic Molecules in the T4 Lysozyme L99A Mutant.标准结合自由能的计算:T4溶菌酶L99A突变体中的芳香族分子
J Chem Theory Comput. 2006 Sep;2(5):1255-73. doi: 10.1021/ct060037v.
3
Small molecule hydration free energies in explicit solvent: An extensive test of fixed-charge atomistic simulations.显式溶剂中小分子的水合自由能:固定电荷原子模拟的广泛测试。
J Chem Theory Comput. 2009 Feb 10;5(2):350-358. doi: 10.1021/ct800409d.
4
DOCK 6: combining techniques to model RNA-small molecule complexes.DOCK 6:结合多种技术对RNA-小分子复合物进行建模。
RNA. 2009 Jun;15(6):1219-30. doi: 10.1261/rna.1563609. Epub 2009 Apr 15.
5
Are mixed explicit/implicit solvation models reliable for studying phosphate hydrolysis? A comparative study of continuum, explicit and mixed solvation models.混合显式/隐式溶剂化模型对于研究磷酸盐水解是否可靠?连续介质、显式和混合溶剂化模型的比较研究。
Chemphyschem. 2009 May 11;10(7):1125-34. doi: 10.1002/cphc.200800753.
6
Predictions of hydration free energies from all-atom molecular dynamics simulations.基于全原子分子动力学模拟的水化自由能预测。
J Phys Chem B. 2009 Apr 9;113(14):4533-7. doi: 10.1021/jp806838b.
7
Host-guest complexes with protein-ligand-like affinities: computational analysis and design.具有蛋白质-配体样亲和力的主客体复合物:计算分析与设计
J Am Chem Soc. 2009 Mar 25;131(11):4012-21. doi: 10.1021/ja808175m.
8
The Confine-and-Release Method: Obtaining Correct Binding Free Energies in the Presence of Protein Conformational Change.限制与释放方法:在蛋白质构象变化存在的情况下获得正确的结合自由能。
J Chem Theory Comput. 2007;3(4):1231-1235. doi: 10.1021/ct700032n.
9
Accelerating QM/MM free energy calculations: representing the surroundings by an updated mean charge distribution.加速量子力学/分子力学自由能计算:用更新的平均电荷分布表示周围环境。
J Phys Chem B. 2008 May 8;112(18):5680-92. doi: 10.1021/jp711496y. Epub 2008 Apr 16.
10
Predicting small-molecule solvation free energies: an informal blind test for computational chemistry.预测小分子溶剂化自由能:计算化学的一次非正式盲测。
J Med Chem. 2008 Feb 28;51(4):769-79. doi: 10.1021/jm070549+. Epub 2008 Jan 24.