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首页> 外文期刊>Journal of Medicinal Chemistry >Simple, intuitive calculations of free energy of binding for protein-ligand complexes. 1. Models without explicit constrained water.
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Simple, intuitive calculations of free energy of binding for protein-ligand complexes. 1. Models without explicit constrained water.

机译:简单,直观地计算蛋白质-配体复合物的结合自由能。 1.没有明确约束水的模型。

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The prediction of the binding affinity between a protein and ligands is one of the most challenging issues for computational biochemistry and drug discovery. While the enthalpic contribution to binding is routinely available with molecular mechanics methods, the entropic contribution is more difficult to estimate. We describe and apply a relatively simple and intuitive calculation procedure for estimating the free energy of binding for 53 protein-ligand complexes formed by 17 proteins of known three-dimensional structure and characterized by different active site polarity. HINT, a software model based on experimental LogP(o/w) values for small organic molecules, was used to evaluate and score all atom-atom hydropathic interactions between the protein and the ligands. These total scores (H(TOTAL)), which have been previously shown to correlate with DeltaG(interaction) for protein-protein interactions, correlate with DeltaG(binding) for protein-ligand complexes in the present study with a standard error of +/-2.6 kcal mol(-1) from the equation DeltaG(binding) = -0.001 95 H(TOTAL) - 5.543. A more sophisticated model, utilizing categorized (by interaction class) HINT scores, produces a superior standard error of +/-1.8 kcal mol(-1). It is shown that within families of ligands for the same protein binding site, better models can be obtained with standard errors approaching +/-1.0 kcal mol(-1). Standardized methods for preparing crystallographic models for hydropathic analysis are also described. Particular attention is paid to the relationship between the ionization state of the ligands and the pH conditions under which the binding measurements are made. Sources and potential remedies of experimental and modeling errors affecting prediction of DeltaG(binding) are discussed.
机译:蛋白质和配体之间结合亲和力的预测是计算生物化学和药物发现中最具挑战性的问题之一。尽管分子力学方法通常可以得到焓对结合的贡献,但熵的贡献却很难估计。我们描述并应用相对简单和直观的计算程序,以估计由已知三维结构的17种蛋白质形成并具有不同活性位点极性的53种蛋白质-配体复合物的结合自由能。 HINT是一种基于有机小分子实验LogP(o / w)值的软件模型,用于评估和评分蛋白质与配体之间的所有原子-原子亲水相互作用。这些总分(H(TOTAL))先前已显示与蛋白质-蛋白质相互作用与DeltaG(相互作用)相关,在本研究中与蛋白质-配体复合物与DeltaG(结合)相关,标准误差为+ / -2.6 kcal mol(-1)从方程DeltaG(binding)= -0.001 95 H(TOTAL)-5.543。利用分类的(按交互作用类别)的HINT分数,更复杂的模型可产生+/- 1.8 kcal mol(-1)的出色标准误差。结果表明,在相同蛋白质结合位点的配体家族中,可以获得更好的模型,其标准误差接近+/- 1.0 kcal mol(-1)。还介绍了制备用于亲水分析的晶体学模型的标准化方法。特别要注意配体的电离状态与进行结合测量的pH条件之间的关系。讨论了影响DeltaG(binding)预测的实验和建模错误的来源和潜在的补救措施。

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