A mathematical formalism to quantify drug-target residence time.

IF 5.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Antonio J Ortiz, David Romero, Antoni Guillamon, Jesús Giraldo
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引用次数: 0

Abstract

Despite drug-target residence time (RT) is a key topic in binding kinetics, little information exists on its theoretical quantification. The two most frequent mathematical expressions found in the literature correspond to two particular and simple pharmacological cases: the binary ligand-receptor complex and the induction-fit model. In this article, we propose a mathematical formalism to obtain an expression of RT that can be of general applicability. RT is calculated from the system of ordinary differential equations (ODE) obtained by applying the Law of Mass Action to the selected chemical process. Then, a subsystem is constructed by defining which chemical species are of interest and omitting their global formation processes. RT maintains its accepted definition of 1/koff, where koff is here defined as the absolute value of the smallest-modulus eigenvalue of the subsystem. The proposed procedure is successfully used to derive RT for a wide variety of pharmacological cases. In particular, the theoretical expressions of RT obtained for binary ligand-receptor binding and induction-fit coincide with those previously found in the literature. An extension of the RT pharmacological framework is proposed by including the concept of relaxation time (RXT), which involves pharmacological conditions associated with receptor activation rather than receptor binding. To conclude, the herein presented formalism for RT and RXT provides a mathematical framework that can be of general applicability in many pharmacological systems. It is expected that the procedure may be helpful in different pharmacological areas such as binding kinetics, PK/PD and enzymology.

一种量化药物靶标停留时间的数学形式。
药物靶停留时间(RT)是结合动力学中的一个重要课题,但其理论定量研究却很少。在文献中发现的两个最常见的数学表达式对应于两个特殊和简单的药理学案例:二元配体-受体复合物和诱导拟合模型。在这篇文章中,我们提出了一种数学形式来获得可以普遍适用的RT表达式。RT是通过将质量作用定律应用于所选化学过程而得到的常微分方程组(ODE)来计算的。然后,通过定义感兴趣的化学物质并省略其整体形成过程来构建子系统。RT保持其公认的1/koff定义,其中koff在这里被定义为子系统最小模特征值的绝对值。所提出的程序已成功地用于推导各种药理学病例的RT。特别是二元配体-受体结合和诱导拟合得到的RT的理论表达式与文献中已有的一致。通过包括松弛时间(RXT)的概念,提出了RT药理学框架的扩展,其中涉及与受体激活而不是受体结合相关的药理学条件。总之,本文提出的RT和RXT的形式提供了一个数学框架,可以在许多药理学系统中普遍适用。预计该程序可能有助于不同的药理学领域,如结合动力学,PK/PD和酶学。
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
Biochemical pharmacology
Biochemical pharmacology 医学-药学
CiteScore
10.30
自引率
1.70%
发文量
420
审稿时长
17 days
期刊介绍: Biochemical Pharmacology publishes original research findings, Commentaries and review articles related to the elucidation of cellular and tissue function(s) at the biochemical and molecular levels, the modification of cellular phenotype(s) by genetic, transcriptional/translational or drug/compound-induced modifications, as well as the pharmacodynamics and pharmacokinetics of xenobiotics and drugs, the latter including both small molecules and biologics. The journal''s target audience includes scientists engaged in the identification and study of the mechanisms of action of xenobiotics, biologics and drugs and in the drug discovery and development process. All areas of cellular biology and cellular, tissue/organ and whole animal pharmacology fall within the scope of the journal. Drug classes covered include anti-infectives, anti-inflammatory agents, chemotherapeutics, cardiovascular, endocrinological, immunological, metabolic, neurological and psychiatric drugs, as well as research on drug metabolism and kinetics. While medicinal chemistry is a topic of complimentary interest, manuscripts in this area must contain sufficient biological data to characterize pharmacologically the compounds reported. Submissions describing work focused predominately on chemical synthesis and molecular modeling will not be considered for review. While particular emphasis is placed on reporting the results of molecular and biochemical studies, research involving the use of tissue and animal models of human pathophysiology and toxicology is of interest to the extent that it helps define drug mechanisms of action, safety and efficacy.
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