Literature DB >> 8369425

The binding capacity is a probability density function.

E Di Cera1, Z Q Chen.   

Abstract

The binding capacity of a system, or equivalently, the fluctuations of the number of ligands bound around the average value defined by the binding isotherm, can be regarded as a probability density function for the chemical potential of the ligand. The first moment of this density function is the mean ligand activity as defined by Wyman and gives the average free energy (in kT units) of binding per site. The second moment is directly related to the cooperativity of the system. These and higher moments can be obtained from numerical integration of experimental data in a direct way. An analytical expression for the moment generating function shows that the N independent coefficients of the partition function of a system containing N sites are uniquely defined by the first N moments of the binding capacity.

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Year:  1993        PMID: 8369425      PMCID: PMC1225711          DOI: 10.1016/S0006-3495(93)81033-6

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  6 in total

Review 1.  LINKED FUNCTIONS AND RECIPROCAL EFFECTS IN HEMOGLOBIN: A SECOND LOOK.

Authors:  J WYMAN
Journal:  Adv Protein Chem       Date:  1964

2.  Symmetry conditions for binding processes.

Authors:  E Di Cera; K P Hopfner; J Wyman
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

3.  Thermodynamics of local linkage effects. Contracted partition functions and the analysis of site-specific energetics.

Authors:  E Di Cera
Journal:  Biophys Chem       Date:  1990-08-31       Impact factor: 2.352

4.  Binding capacity: cooperativity and buffering in biopolymers.

Authors:  E Di Cera; S J Gill; J Wyman
Journal:  Proc Natl Acad Sci U S A       Date:  1988-01       Impact factor: 11.205

5.  A new method for the determination of equilibrium constants through binding capacity measurements.

Authors:  E Di Cera; S J Gill
Journal:  Biophys Chem       Date:  1988-12       Impact factor: 2.352

6.  Alkaline Bohr effect of human hemoglobin Ao.

Authors:  E Di Cera; M L Doyle; S J Gill
Journal:  J Mol Biol       Date:  1988-04-05       Impact factor: 5.469

  6 in total
  4 in total

1.  Transition modes in Ising networks: an approximate theory for macromolecular recognition.

Authors:  S Keating; E Di Cera
Journal:  Biophys J       Date:  1993-07       Impact factor: 4.033

2.  A linkage analysis toolkit for studying allosteric networks in ion channels.

Authors:  Daniel Sigg
Journal:  J Gen Physiol       Date:  2012-12-17       Impact factor: 4.086

3.  Free-energy relationships in ion channels activated by voltage and ligand.

Authors:  Sandipan Chowdhury; Baron Chanda
Journal:  J Gen Physiol       Date:  2012-12-17       Impact factor: 4.086

Review 4.  Modeling ion channels: past, present, and future.

Authors:  Daniel Sigg
Journal:  J Gen Physiol       Date:  2014-06-16       Impact factor: 4.086

  4 in total

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