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Predicting Binding Free Energies: Frontiers and Benchmarks.预测结合自由能:前沿和基准。
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Evaluation and Minimization of Uncertainty in ITC Binding Measurements: Heat Error, Concentration Error, Saturation, and Stoichiometry.ITC 结合测量中的不确定度评估和最小化:热误差、浓度误差、饱和度和化学计量学。
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实验表征β-环糊精与 8 种新型环糊精衍生物与两种客体化合物的缔合作用。

Experimental characterization of the association of β-cyclodextrin and eight novel cyclodextrin derivatives with two guest compounds.

机构信息

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0751, USA.

出版信息

J Comput Aided Mol Des. 2021 Jan;35(1):95-104. doi: 10.1007/s10822-020-00350-w. Epub 2020 Oct 10.

DOI:10.1007/s10822-020-00350-w
PMID:33037548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7867601/
Abstract

We investigate the binding of native β-cyclodextrin (β-CD) and eight novel β-CD derivatives with two different guest compounds, using isothermal calorimetry and 2D NOESY NMR. In all cases, the stoichiometry is 1:1 and binding is exothermic. Overall, modifications at the 3' position of β-CD, which is at the secondary face, weaken binding by several kJ/mol relative to native β-CD, while modifications at the 6' position (primary face) maintain or somewhat reduce the binding affinity. The variations in binding enthalpy are larger than the variations in binding free energy, so entropy-enthalpy compensation is observed. Characterization of the bound conformations with NOESY NMR shows that the polar groups of the guests may be situated at either face, depending on the host molecule, and, in some cases, both orientations are populated. The present results were used in the SAMPL7 blinded prediction challenge whose results are detailed in the same special issue of JCAMD.

摘要

我们使用等温量热法和二维 NOESY NMR 研究了天然β-环糊精(β-CD)和 8 种新型β-CD 衍生物与两种不同客体化合物的结合。在所有情况下,化学计量比均为 1:1,且结合是放热的。总体而言,β-CD 上位于二级面的 3'位的修饰相对于天然β-CD 使结合减弱了几个 kJ/mol,而 6'位(一级面)的修饰则保持或略微降低了结合亲和力。结合焓的变化大于结合自由能的变化,因此观察到熵-焓补偿。通过 NOESY NMR 对结合构象进行表征表明,根据主体分子的不同,客体的极性基团可能位于任一面上,在某些情况下,两种取向都存在。本研究结果被用于 SAMPL7 盲测预测挑战,其结果在同一期 JCAMD 特刊中详细介绍。