Cell membrane chromatography relative competitive method for the accurate determination of relative K D values of drug-receptor interactions
The specific binding of a drug to the receptor is a prerequisite for its action. The equilibrium dissociation constant (K ) is an important parameter for measuring the strength of drug-receptor interactions. Cell membrane chromatography (CMC) is a powerful way to determine the K value; however, the...
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Veröffentlicht in: | Archives of pharmacal research 2024-12 |
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Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The specific binding of a drug to the receptor is a prerequisite for its action. The equilibrium dissociation constant (K
) is an important parameter for measuring the strength of drug-receptor interactions. Cell membrane chromatography (CMC) is a powerful way to determine the K
value; however, the common disadvantage is that the attenuation of biological activity with the analysis process leads to corresponding errors in comparing K
values of a series of drugs. Therefore, it is of practical significance to analyze the relative K
values of drugs for the same membrane receptor under the same conditions. We developed a CMC relative competitive method to determine the relative K
values of drugs through simultaneous injection of the control compound and analyte in each analysis, circumventing the error in K
values of drugs due to the attenuation of the biological activity of the CMC column. The results showed that the K
values of CD147 antagonists and MRGPRX2 agonists determined using the CMC relative competitive method correlated well with the K
values obtained via frontal analysis and stepwise frontal method using the CD147
(MRGPRX2
)/CMC system. Critically, the biological activities of the CD147 antagonists and MRGPRX2 agonists were significantly correlated with K
values measured using the CMC relative competitive method. Therefore, the CMC relative competitive method can accurately and efficiently evaluate the relative K
values of drugs and effectively predict the differences in pharmacological activity between a series of drugs, which has important guiding significance in the development of targeted drugs. |
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ISSN: | 1976-3786 |
DOI: | 10.1007/s12272-024-01525-x |