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10
Validation of an automated procedure for the prediction of relative free energies of binding on a set of aldose reductase inhibitors.一种用于预测一组醛糖还原酶抑制剂结合相对自由能的自动化程序的验证。
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配体结合的热力学与效率

Thermodynamics of ligand binding and efficiency.

作者信息

Reynolds Charles H, Holloway M Katharine

机构信息

Ansaris , Four Valley Square, 512 East Township Line Road, Blue Bell, Pennsylvania 19442, United States.

Merck Research Laboratories , P.O. Box 4, West Point, Pennsylvania 19486, United States.

出版信息

ACS Med Chem Lett. 2011 Mar 23;2(6):433-7. doi: 10.1021/ml200010k. eCollection 2011 Jun 9.

DOI:10.1021/ml200010k
PMID:24900326
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4018058/
Abstract

Analysis of the experimental binding thermodynamics for approximately 100 protein-ligand complexes provides important insights into the factors governing ligand affinity and efficiency. The commonly accepted correlation between enthalpy and -TΔS is clearly observed for this relatively diverse data set. It is also clear that affinity (i.e., ΔG) is not generally correlated to either enthalpy or -TΔS. This is a worrisome trend since the vast majority of computational structure-based design is carried out using interaction energies for one, or at most a few, ligand poses. As such, these energies are most closely comparable to enthalpies not free energies. Closer inspection of the data shows that in a few cases the enthalpy (or -TΔS) is correlated with free energy. It is tempting to speculate that this could be an important consideration as to why some targets are readily amenable to modeling and others are not. Additionally, analysis of the enthalpy and -TΔS efficiencies shows that the trends observed for ligand efficiencies with respect to molecular size are primarily a consequence of enthalpic, not entropic, effects.

摘要

对大约100种蛋白质-配体复合物的实验结合热力学进行分析,为了解影响配体亲和力和效率的因素提供了重要见解。对于这个相对多样化的数据集,焓与-TΔS之间通常认可的相关性清晰可见。同样明显的是,亲和力(即ΔG)通常与焓或-TΔS均无关联。这是一个令人担忧的趋势,因为绝大多数基于计算结构的设计是使用一个或至多几个配体构象的相互作用能来进行的。因此,这些能量与焓而非自由能最为接近。对数据的进一步检查表明,在少数情况下,焓(或-TΔS)与自由能相关。不禁推测,这可能是一些靶点易于建模而另一些则不然的一个重要考量因素。此外,对焓和-TΔS效率的分析表明,观察到的配体效率相对于分子大小的趋势主要是焓效应而非熵效应的结果。