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离子强度、粘度和疏水性对蛋白质-配体结合亲和力影响的量化。

Quantification of the effects of ionic strength, viscosity, and hydrophobicity on protein-ligand binding affinity.

作者信息

Papaneophytou Christos P, Grigoroudis Asterios I, McInnes Campbell, Kontopidis George

机构信息

Veterinary School, University of Thessaly , Trikalon 224, Karditsa 43100, Greece ; Institute for Research and Technology-Thessaly (I.RE.TE.TH.), The Centre for Research & Technology Hellas (CE.R.TH.) , Dimitriados 95 & Paulou Mela, Volos 383 33, Greece.

Veterinary School, University of Thessaly , Trikalon 224, Karditsa 43100, Greece.

出版信息

ACS Med Chem Lett. 2014 Jul 9;5(8):931-6. doi: 10.1021/ml500204e. eCollection 2014 Aug 14.

Abstract

In order to quantify the interactions between molecules of biological interest, the determination of the dissociation constant (K d) is essential. Estimation of the binding affinity in this way is routinely performed in "favorable" conditions for macromolecules. Crucial data for ligand-protein binding elucidation is mainly derived from techniques (e.g., macromolecular crystallography) that require the addition of high concentration of salts and/or other additives. In this study we have evaluated the effect of temperature, ionic strength, viscosity, and hydrophobicity on the K d of three previously characterized protein-ligand systems, based on variation in their binding sites, in order to provide insight into how these often overlooked unconventional circumstances impact binding affinity. Our conclusions are as follows: (1) increasing solvent viscosity in general is detrimental to ligand binding, (2) moderate increases in temperature have marginal effects on the dissociation constant, and (3) the degree of hydrophobicity of the ligand and the binding site determines the extent of the influence of cosolvents and salt concentration on ligand binding affinity.

摘要

为了量化具有生物学意义的分子之间的相互作用,解离常数(Kd)的测定至关重要。以这种方式估算结合亲和力通常是在对大分子“有利”的条件下进行的。用于阐明配体 - 蛋白质结合的关键数据主要来自需要添加高浓度盐和/或其他添加剂的技术(例如,大分子晶体学)。在本研究中,我们基于三个先前表征的蛋白质 - 配体系统结合位点的变化,评估了温度、离子强度、粘度和疏水性对其Kd的影响,以便深入了解这些常常被忽视的非常规情况如何影响结合亲和力。我们的结论如下:(1)一般来说,增加溶剂粘度不利于配体结合;(2)温度适度升高对解离常数的影响很小;(3)配体和结合位点的疏水程度决定了共溶剂和盐浓度对配体结合亲和力的影响程度。

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3
X-ray crystallography in drug discovery.
Methods Mol Biol. 2009;572:31-56. doi: 10.1007/978-1-60761-244-5_3.
4
Biophysical studies on the full-length human cyclin A2: protein stability and folding/unfolding thermodynamics.
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6
Biological assay challenges from compound solubility: strategies for bioassay optimization.
Drug Discov Today. 2006 May;11(9-10):446-51. doi: 10.1016/j.drudis.2006.03.004.
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A hypothesis concerning diffusion-limited protein-ligand interactions.
Biophys Chem. 2002 Dec 10;101-102:249-54. doi: 10.1016/s0301-4622(02)00176-x.

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