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A critical re-evaluation of the slope factor of the operational model of agonism: When to exponentiate operational efficacy

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    0579058 - FGÚ 2024 RIV US eng J - Článek v odborném periodiku
    Randáková, Alena - Nelic, Dominik - Jakubík, Jan
    A critical re-evaluation of the slope factor of the operational model of agonism: When to exponentiate operational efficacy.
    Scientific Reports. Roč. 13, č. 1 (2023), č. článku 17587. ISSN 2045-2322. E-ISSN 2045-2322
    Grant CEP: GA ČR(CZ) GA23-04670S; GA MŠMT(CZ) LX22NPO5107
    Institucionální podpora: RVO:67985823
    Klíčová slova: protein-coupled receptors * autoinhibition * selectivity * mechanisms * bias
    Obor OECD: Pharmacology and pharmacy
    Impakt faktor: 4.6, rok: 2022
    Způsob publikování: Open access
    https://doi.org/10.1038/s41598-023-45004-7

    Agonist efficacy denoting the „strength“ of agonist action is a cornerstone in the proper assessment of agonist selectivity and signalling bias. The simulation models are very accurate but complex and hard to fit experimental data. The parsimonious operational model of agonism (OMA) has become successful in the determination of agonist efficacies and ranking them. In 1983, Black and Leff introduced the slope factor to the OMA to make it more flexible and allow for fitting steep as well as flat concentration-response curves. First, we performed a functional analysis to indicate the potential pitfalls of the OMA. Namely, exponentiation of operational efficacy may break relationships among the OMA parameters. The fitting of the Black & Leff equation to the theoretical curves of several models of functional responses and the experimental data confirmed the fickleness of the exponentiation of operational efficacy affecting estimates of operational efficacy as well as other OMA parameters. In contrast, fitting The OMA based on the Hill equation to the same data led to better estimates of model parameters. In conclusion, Hill equation-based OMA should be preferred over the Black & Leff equation when functional-response curves differ in the slope factor. Otherwise, the Black & Leff equation should be used with extreme caution acknowledging potential pitfalls.

    Trvalý link: https://hdl.handle.net/11104/0347935

     
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