Literature DB >> 12618219

Stochastic description of the ligand-receptor interaction of biologically active substances at extremely low doses.

Konstantin G Gurevich1, Paul S Agutter, Denys N Wheatley.   

Abstract

Signalling molecules can be effective at extraordinarily low concentrations (down to attomolar levels). To handle such cases, probabilistic methods have been used to describe the formal kinetics of action of biologically active substances in these low doses, although it has been necessary to review what is meant by such a term. The mean numbers of transformed/degraded molecules and their dispersions were calculated for the possible range of ligand-receptor binding schemes. We used both analytical equations and numerical simulations to calculate the coefficients of variation (ratio of standard deviation to mean) and demonstrated that the distribution of the coefficient is highly dependent on the reaction scheme. It may, therefore, be used as an additional factor for discriminating between cooperative and noncooperative models of ligand-receptor interaction over extreme ranges of ligand dilution. The relevance to signalling behaviour is discussed.

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Year:  2003        PMID: 12618219     DOI: 10.1016/s0898-6568(02)00138-9

Source DB:  PubMed          Journal:  Cell Signal        ISSN: 0898-6568            Impact factor:   4.315


  4 in total

1.  Design and synthesis of single-nanoparticle optical biosensors for imaging and characterization of single receptor molecules on single living cells.

Authors:  Tao Huang; Prakash D Nallathamby; Daniel Gillet; Xiao-Hong Nancy Xu
Journal:  Anal Chem       Date:  2007-09-15       Impact factor: 6.986

2.  Photostable single-molecule nanoparticle optical biosensors for real-time sensing of single cytokine molecules and their binding reactions.

Authors:  Tao Huang; Prakash D Nallathamby; Xiao-Hong Nancy Xu
Journal:  J Am Chem Soc       Date:  2008-12-17       Impact factor: 15.419

3.  A danger of low copy numbers for inferring incorrect cooperativity degree.

Authors:  Zoran Konkoli
Journal:  Theor Biol Med Model       Date:  2010-11-01       Impact factor: 2.432

4.  A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells.

Authors:  Guozhen Liu; Christina Bursill; Siân P Cartland; Ayad G Anwer; Lindsay M Parker; Kaixin Zhang; Shilun Feng; Meng He; David W Inglis; Mary M Kavurma; Mark R Hutchinson; Ewa M Goldys
Journal:  iScience       Date:  2019-09-17
  4 in total

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