Estimating the Strength of Binding Affinity via Delta-Delta-G for Hit Screening After a Deming Regression Calibration.

IF 1.5 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2025-01-01 DOI:10.1002/pst.2460
Kanaka Tatikola, Javier Cabrera
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引用次数: 0

Abstract

In compound hit screening, an important chemical property is target binding affinity, represented by a parameter ΔΔG. You can measure ΔΔG experimentally (ΔΔGexp) or by calculations via simulations (ΔΔGcalc). Because it is expensive to measure ΔΔG experimentally, only a few experimental runs are performed. The relationship between the experimental data and the calculated results is a straight line with a slope that is not necessarily one. The goal is to estimate the linear relationship between ΔΔGexp and ΔΔGcalc by fitting a Deming regression model that will be used to predict future values of ΔΔGtrue based on the obtained ΔΔGcalc.

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在Deming回归校准后,通过Delta-Delta-G估计命中筛选的结合亲和力强度。
在化合物命中筛选中,一个重要的化学性质是靶标结合亲和力,由一个参数ΔΔG表示。您可以通过实验(ΔΔGexp)或通过模拟计算(ΔΔGcalc)来测量ΔΔG。由于通过实验测量ΔΔG的成本很高,因此只进行了几次实验运行。实验数据和计算结果之间的关系是一条直线,斜率不一定是一个。目标是通过拟合Deming回归模型来估计ΔΔGexp和ΔΔGcalc之间的线性关系,该模型将用于根据获得的ΔΔGcalc预测ΔΔGtrue的未来值。
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
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
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