Literature DB >> 10550695

The influence of axial ligands on the reduction potential of blue copper proteins.

M H Olsson1, U Ryde.   

Abstract

The reduction potentials of blue copper sites vary between 180 and about 1000 mV. It has been suggested that the reason for this variation is that the proteins constrain the distance between the copper ion and its axial ligands to different values. We have tested this suggestion by performing density functional B3LYP calculations on realistic models of the blue copper proteins, including solvent effects by the polarizable continuum method. Constraining the Cu-S(Met) bond length to values between 245 and 310 pm (the range encountered in crystal structures) change the reduction potential by less than 70 mV. Similarly, we have studied five typical blue copper proteins spanning the whole range of reduction potentials: stellacyanin, plastocyanin, azurin, rusticyanin, and ceruloplasmin. These studies included the methionine (or glutamine) ligand as well as the back-bone carbonyl oxygen group that is a ligand in azurin and is found at larger distances in the other proteins. The active-site models of these proteins show a variation in the reduction potential of about 140 mV, i.e., only a minor part of the range observed experimentally (800 mV). Consequently, we can conclude that the axial ligands have a small influence on the reduction potentials of the blue copper proteins. Instead, the large variation in the reduction potentials seems to arise mainly from variations in the solvent accessibility of the copper site and in the orientation of protein dipoles around the copper site.

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Year:  1999        PMID: 10550695     DOI: 10.1007/s007750050389

Source DB:  PubMed          Journal:  J Biol Inorg Chem        ISSN: 0949-8257            Impact factor:   3.358


  9 in total

1.  Calculating the geometry and Raman spectrum of physiological bis(L-histidinato)copper(II): an assessment of DFT functionals for aqueous and isolated systems.

Authors:  Jasmina Sabolović; Michael Ramek; Marijana Marković
Journal:  J Mol Model       Date:  2017-09-26       Impact factor: 1.810

2.  Theoretical model of the aqua-copper [Cu(H2O)5]+ cation interactions with guanine.

Authors:  Jaroslav V Burda; Manoj K Shukla; Jerzy Leszczynski
Journal:  J Mol Model       Date:  2005-06-01       Impact factor: 1.810

3.  Structural Survey of Zinc Containing Proteins and the Development of the Zinc AMBER Force Field (ZAFF).

Authors:  Martin B Peters; Yue Yang; Bing Wang; László Füsti-Molnár; Michael N Weaver; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-09-14       Impact factor: 6.006

4.  Transforming a blue copper into a red copper protein: engineering cysteine and homocysteine into the axial position of azurin using site-directed mutagenesis and expressed protein ligation.

Authors:  Kevin M Clark; Yang Yu; Nicholas M Marshall; Nathan A Sieracki; Mark J Nilges; Ninian J Blackburn; Wilfred A van der Donk; Yi Lu
Journal:  J Am Chem Soc       Date:  2010-07-28       Impact factor: 15.419

5.  Geometric distortions on a three-coordinated T1 Cu site model as a potential strategy to modulate redox potential. A theoretical study.

Authors:  Hugo Vázquez-Lima; Patricia Guadarrama; Claudia Martínez-Anaya
Journal:  J Mol Model       Date:  2011-05-04       Impact factor: 1.810

Review 6.  Orchestrating copper binding: structure and variations on the cupredoxin fold.

Authors:  Jing Guo; Oriana S Fisher
Journal:  J Biol Inorg Chem       Date:  2022-08-22       Impact factor: 3.862

7.  Modulating the Copper-Sulfur Interaction in Type 1 Blue Copper Azurin by Replacing Cys112 with Nonproteinogenic Homocysteine.

Authors:  Kevin M Clark; Yang Yu; Wilfred A van der Donk; Ninian Blackburn; Yi Lu
Journal:  Inorg Chem Front       Date:  2014-02-01       Impact factor: 6.569

8.  Prediction of Reduction Potentials of Copper Proteins with Continuum Electrostatics and Density Functional Theory.

Authors:  Nicholas J Fowler; Christopher F Blanford; Jim Warwicker; Sam P de Visser
Journal:  Chemistry       Date:  2017-09-21       Impact factor: 5.236

9.  The Azurin Coding Gene: Origin and Phylogenetic Distribution.

Authors:  Leandro Gammuto; Carolina Chiellini; Marta Iozzo; Renato Fani; Giulio Petroni
Journal:  Microorganisms       Date:  2021-12-22
  9 in total

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