Literature DB >> 11297406

A novel view of pH titration in biomolecules.

A Onufriev1, D A Case, G M Ullmann.   

Abstract

When individual titratable sites in a molecule interact with each other, their pH titration can be considerably more complex than that of an independent site described by the classical Henderson-Hasselbalch equation. We propose a novel framework that decomposes any complex titration behavior into simple standard components. The approach maps the set of N interacting sites in the molecule onto a set of N independent, noninteracting quasi-sites, each characterized by a pK'(a) value. The titration curve of an individual site in the molecule is a weighted sum of Henderson-Hasselbalch curves corresponding to the quasi-sites. The total protonation curve is the unweighted sum of these Henderson-Hasselbalch curves. We show that pK'(a) values correspond to deprotonation constants available from methods that can be used to assess total proton uptake or release, and establish their connection to protonation curves of individual residues obtained by NMR or infrared spectroscopy. The new framework is tested on a small molecule diethylenetriaminepentaacetate (DTPA) exhibiting nonmonotonic titration curves, where it gives an excellent fit to experimental data. We demonstrate that the titration curve of a site in a group of interacting sites can be accurately reconstructed, if titration curves of the other sites are known. The application of the new framework to the protein rubredoxin demonstrates its usefulness in calculating and interpreting complicated titration curves.

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Year:  2001        PMID: 11297406     DOI: 10.1021/bi002740q

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  40 in total

1.  Resolving the individual components of a pH-induced conformational change.

Authors:  C Blouin; J G Guillemette; C J Wallace
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

2.  The position of QB in the photosynthetic reaction center depends on pH: a theoretical analysis of the proton uptake upon QB reduction.

Authors:  Antoine Taly; Pierre Sebban; Jeremy C Smith; G Matthias Ullmann
Journal:  Biophys J       Date:  2003-03       Impact factor: 4.033

3.  A low pKa cysteine at the active site of mouse methionine sulfoxide reductase A.

Authors:  Jung Chae Lim; James M Gruschus; Geumsoo Kim; Barbara S Berlett; Nico Tjandra; Rodney L Levine
Journal:  J Biol Chem       Date:  2012-06-01       Impact factor: 5.157

4.  Effects of pH on proteins: predictions for ensemble and single-molecule pulling experiments.

Authors:  Edward P O'Brien; Bernard R Brooks; D Thirumalai
Journal:  J Am Chem Soc       Date:  2011-12-27       Impact factor: 15.419

5.  A mathematical view on the decoupled sites representation.

Authors:  Johannes W R Martini; G Matthias Ullmann
Journal:  J Math Biol       Date:  2012-02-25       Impact factor: 2.259

6.  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

7.  Simulation of pH-dependent edge strand rearrangement in human beta-2 microglobulin.

Authors:  Sheldon Park; Jeffery G Saven
Journal:  Protein Sci       Date:  2005-12-01       Impact factor: 6.725

Review 8.  Investigating the mechanisms of photosynthetic proteins using continuum electrostatics.

Authors:  G Matthias Ullmann; Edda Kloppmann; Timm Essigke; Eva-Maria Krammer; Astrid R Klingen; Torsten Becker; Elisa Bombarda
Journal:  Photosynth Res       Date:  2008-05-14       Impact factor: 3.573

9.  Electrostatic contributions to the stability of the GCN4 leucine zipper structure.

Authors:  William M Matousek; Barbara Ciani; Carolyn A Fitch; Bertrand Garcia-Moreno; Richard A Kammerer; Andrei T Alexandrescu
Journal:  J Mol Biol       Date:  2007-09-11       Impact factor: 5.469

10.  pH-dependent dynamics of complex RNA macromolecules.

Authors:  Garrett B Goh; Jennifer L Knight; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2013-01-03       Impact factor: 6.006

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