Literature DB >> 22367418

A mathematical view on the decoupled sites representation.

Johannes W R Martini1, G Matthias Ullmann.   

Abstract

The decoupled sites representation (DSR) is a theoretical instrument which allows to regard complex pH titration curves of biomolecules with several interacting proton binding sites as composition of isolated, non-interacting sites, each with a standard Henderson-Hasselbalch titration curve. In this work, we present the mathematical framework in which the DSR is embedded and give mathematical proofs for several statements in the periphery of the DSR. These proofs also identify exceptions. To apply the DSR to any molecule, it is necessary to extend the set of binding energies from R to a stripe within C. An important observation in this context is that even positive interaction energies (repulsion) between the binding sites will not guarantee real binding energies in the decoupled system, at least if the molecule has more than four proton binding sites. Moreover, we show that for a given overall titration curve it is not only possible to find a corresponding system with an interaction energy of zero but with any arbitrary fix interaction energy. This result also effects practical work as it shows that for any given titration curve, there is an infinite number of corresponding hypothetical molecules. Furthermore, this implies that--using a common definition of cooperative binding on the level of interaction energies--a meaningful measure of cooperativity between the binding sites cannot be defined solely on the basis of the overall titration. Consequently, all measures of cooperativity based on the overall binding curve do not measure the type of cooperativity commonly defined on the basis of interaction energies. Understanding the DSR mathematically provides the basis of transferring the DSR to biomolecules with different types of interacting ligands, such as protons and electrons, which play an important role within electron transport chains like in photosynthesis.

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Year:  2012        PMID: 22367418     DOI: 10.1007/s00285-012-0517-x

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  8 in total

1.  pH-dependent pKa values in proteins--a theoretical analysis of protonation energies with practical consequences for enzymatic reactions.

Authors:  Elisa Bombarda; G Matthias Ullmann
Journal:  J Phys Chem B       Date:  2010-02-11       Impact factor: 2.991

2.  Simulating the proton transfer in gramicidin A by a sequential dynamical Monte Carlo method.

Authors:  Mirco S Till; Timm Essigke; Torsten Becker; G Matthias Ullmann
Journal:  J Phys Chem B       Date:  2008-09-30       Impact factor: 2.991

3.  Coupling of protonation, reduction, and conformational change in azurin from Pseudomonas aeruginosa investigated with free energy measures of cooperativity.

Authors:  R Thomas Ullmann; G Matthias Ullmann
Journal:  J Phys Chem B       Date:  2011-08-05       Impact factor: 2.991

4.  Probing structural and physical basis of protein energetics linked to protons and salt.

Authors:  B García-Moreno
Journal:  Methods Enzymol       Date:  1995       Impact factor: 1.600

5.  Free energy coupling within macromolecules. The chemical work of ligand binding at the individual sites in co-operative systems.

Authors:  G K Ackers; M A Shea; F R Smith
Journal:  J Mol Biol       Date:  1983-10-15       Impact factor: 5.469

6.  A novel view of pH titration in biomolecules.

Authors:  A Onufriev; D A Case; G M Ullmann
Journal:  Biochemistry       Date:  2001-03-27       Impact factor: 3.162

7.  Simulation of the electron transfer between the tetraheme subunit and the special pair of the photosynthetic reaction center using a microstate description.

Authors:  Torsten Becker; R Thomas Ullmann; G Matthias Ullmann
Journal:  J Phys Chem B       Date:  2007-02-28       Impact factor: 2.991

8.  Kinetics of proton diffusion in the regimes of fast and slow exchange between the membrane surface and the bulk solution.

Authors:  E S Medvedev; A A Stuchebrukhov
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.164

  8 in total
  2 in total

1.  Cooperative binding: a multiple personality.

Authors:  Johannes W R Martini; Luis Diambra; Michael Habeck
Journal:  J Math Biol       Date:  2015-08-29       Impact factor: 2.259

2.  Decoupled molecules with binding polynomials of bidegree (n, 2).

Authors:  Yue Ren; Johannes W R Martini; Jacinta Torres
Journal:  J Math Biol       Date:  2018-10-03       Impact factor: 2.259

  2 in total

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