Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

[The quantitative patterns of the modified one-center bioreceptor model].

A P Poltorakov1

  • 1N. N. Semenov Institute of Chemical Physics, Russian Academy of Science, Moscow, Russia. poltorakov@mtu-net.ru

Zhurnal Obshchei Biologii
|June 23, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Analysis of survival and mortality curves with the model of vital receptors. The maximal life span. Effect of temperature on the life span. The mortality probability density function (mortality curve) and its parameters].

Zhurnal obshchei biologii·2001
Same author

[A quantitative description of the cytostatic effects of chelators of transition metal ions (exemplified by picolinic acid and Fe2+)].

Izvestiia Akademii nauk. Seriia biologicheskaia·1996
Same author

[Kinetic model of a single muscle contraction].

Biofizika·1978
Same author

[COMPLARATIVE CHARACTERISTICS OF THE CLINICAL EFFECTS OF TRANQUILIZERS].

Zhurnal nevropatologii i psikhiatrii imeni S.S. Korsakova (Moscow, Russia : 1952)·1974
Same journal

[On the mechanism of evolution at the ecosystem level of life organization].

Zhurnal obshchei biologii·2018
Same journal

[Coenotic distribution and ecological preferences of Betula pendula and Betula pubescens in Central Russia].

Zhurnal obshchei biologii·2018
Same journal

[Tropisms in underground shoots — stolons and rhizomes].

Zhurnal obshchei biologii·2018
Same journal

[Interconnectedness between ecological successions and catenary arrangement of space].

Zhurnal obshchei biologii·2018
Same journal

[Female mate choice, male-male competition, and male sexual traits: Experimental study of sexual selection directedness in Campbell's dwarf hamster (Phodopus campbelli Thomas 1905)]

Zhurnal obshchei biologii·2018
Same journal

[On the problem of female infertility: A search for genetic markers].

Zhurnal obshchei biologii·2018
See all related articles

A modified one-site model quantitatively estimates full agonism, determining threshold phenomena and spare receptors. This model accurately fits dose-response curves for full agonists, aiding in receptor analysis.

Area of Science:

  • Pharmacology and Computational Biology
  • Biochemistry and Biophysics

Background:

  • Understanding full agonism is crucial for drug development and receptor theory.
  • Existing models may not fully capture the quantitative aspects of agonist-receptor interactions.

Purpose of the Study:

  • To quantitatively estimate the phenomenon of full agonism using a modified one-site bioreceptor model.
  • To determine threshold phenomena, spare receptors, and the linear dependence of biological effect on agonist-receptor complex concentration.

Main Methods:

  • Utilized a modified one-site model for bioreceptor analysis.
  • Developed general correlation equations to describe the dose-response relationship.
  • Applied the model to experimental dose-response curves.

Related Experiment Videos

Main Results:

  • The one-site model equations provided a good fit to experimental dose-response curves for full agonists.
  • Successfully calculated the value of spare receptors.
  • Demonstrated the model's ability to determine threshold phenomena and linear dependence.

Conclusions:

  • The modified one-site model offers a quantitative approach to understanding full agonism.
  • The model accurately predicts spare receptors and dose-response relationships.
  • This framework is applicable to analyzing interactions like acetylcholine with muscarinic receptors.