Continuous Titration Based Method for Rapid In-Solution Analysis of Non-Covalent Interactions

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY
Philipp Willmer, Adam C. Hundahl, Rodolphe Marie, Henrik Jensen
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引用次数: 0

Abstract

Development of new drugs typically involves the identification and validation of molecular inhibitors or promotors of endogenous biological processes. The identification of ligands that can bind the target of interest is typically achieved by screening large libraries of small molecules, using analytical methods that only provide yes/no answers. These methods are only qualitative and often associated with unacceptable amounts of false positives and negatives. Quantitative methods are in general more accurate but time intensive. This is mainly due to repeating measurements of a dilution series in order to generate a titration curve and measure the dissociation constant (Kd). In this work, we introduce Continuous Titration Based Spectral Related Intensity Change (cSPRING), that combines Taylor dispersion analysis (TDA) with ratiometric fluorescence detection to measure a Kd in a single experiment. cSPRING is an in-solution method that reduces the sample preparation time 8-fold and requires only nanograms of protein. We show a good agreement of cSPRING with other quantitative methods for three well-known protein-small molecule interactions with binding affinities ranging from the low nanomolar to high micromolar. In addition, we show that cSPRING is able to measure binding affinities in under a minute, highlighting its efficiency and potential for screening applications.

基于连续滴定的非共价相互作用快速溶液分析方法
新药的开发通常涉及内源性生物过程的分子抑制剂或启动子的鉴定和验证。可以结合感兴趣目标的配体的鉴定通常是通过筛选小分子的大型文库来实现的,使用的分析方法只能提供是/否的答案。这些方法只是定性的,而且往往与不可接受的假阳性和假阴性数量有关。定量方法通常更准确,但需要耗费大量时间。这主要是由于为了生成滴定曲线和测量解离常数(Kd)而重复测量稀释系列。在这项工作中,我们引入了基于连续滴定的光谱相关强度变化(cSPRING),它将泰勒色散分析(TDA)与比例荧光检测相结合,在单个实验中测量Kd。cSPRING是一种溶液内方法,可将样品制备时间缩短8倍,只需要纳克蛋白质。我们发现cSPRING与其他定量方法在三种已知的结合亲和力范围从低纳摩尔到高微摩尔的蛋白质-小分子相互作用上有很好的一致性。此外,我们表明cSPRING能够在一分钟内测量结合亲和力,突出了其效率和筛选应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
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0.00%
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