Literature DB >> 15747387

Calculation of the redox potential of the protein azurin and some mutants.

Marieke van den Bosch1, Marcel Swart, Jaap G Snijders, Herman J C Berendsen, Alan E Mark, Chris Oostenbrink, Wilfred F van Gunsteren, Gerard W Canters.   

Abstract

Azurin from Pseudomonas aeruginosa is a small 128-residue, copper-containing protein. Its redox potential can be modified by mutating the protein. Free-energy calculations based on classical molecular-dynamics simulations of the protein and from mutants in aqueous solution at different pH values were used to compute relative redox potentials. The precision of the free-energy calculations with the lambda coupling-parameter approach is evaluated as function of the number and sequence of lambda values, the sampling time and initial conditions. It is found that the precision is critically dependent on the relaxation of hydrogen-bonding networks when changing the atomic-charge distribution due to a change of redox state or pH value. The errors in the free energies range from 1 to 10 k(B)T, depending on the type of process. Only qualitative estimates of the change in redox potential by protein mutation can be obtained.

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Year:  2005        PMID: 15747387     DOI: 10.1002/cbic.200400244

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  13 in total

1.  Copper Oxidation/Reduction in Water and Protein: Studies with DFTB3/MM and VALBOND Molecular Dynamics Simulations.

Authors:  Haiyun Jin; Puja Goyal; Akshaya Kumar Das; Michael Gaus; Markus Meuwly; Qiang Cui
Journal:  J Phys Chem B       Date:  2015-12-17       Impact factor: 2.991

2.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

3.  Lead optimization mapper: automating free energy calculations for lead optimization.

Authors:  Shuai Liu; Yujie Wu; Teng Lin; Robert Abel; Jonathan P Redmann; Christopher M Summa; Vivian R Jaber; Nathan M Lim; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2013-09-26       Impact factor: 3.686

4.  The Confine-and-Release Method: Obtaining Correct Binding Free Energies in the Presence of Protein Conformational Change.

Authors:  David L Mobley; John D Chodera; Ken A Dill
Journal:  J Chem Theory Comput       Date:  2007       Impact factor: 6.006

5.  Perspective: Alchemical free energy calculations for drug discovery.

Authors:  David L Mobley; Pavel V Klimovich
Journal:  J Chem Phys       Date:  2012-12-21       Impact factor: 3.488

6.  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

7.  The mechanochemistry of copper reports on the directionality of unfolding in model cupredoxin proteins.

Authors:  Amy E M Beedle; Ainhoa Lezamiz; Guillaume Stirnemann; Sergi Garcia-Manyes
Journal:  Nat Commun       Date:  2015-08-03       Impact factor: 14.919

8.  Net charge changes in the calculation of relative ligand-binding free energies via classical atomistic molecular dynamics simulation.

Authors:  Maria M Reif; Chris Oostenbrink
Journal:  J Comput Chem       Date:  2013-11-19       Impact factor: 3.376

9.  Differences in the mechanical unfolding pathways of apo- and copper-bound azurins.

Authors:  Anju Yadav; Sanjoy Paul; Ravindra Venkatramani; Sri Rama Koti Ainavarapu
Journal:  Sci Rep       Date:  2018-01-31       Impact factor: 4.379

10.  Mechanical Deformation and Electronic Structure of a Blue Copper Azurin in a Solid-State Junction.

Authors:  Carlos Romero-Muñiz; María Ortega; J G Vilhena; Ismael Diéz-Pérez; Juan Carlos Cuevas; Rubén Pérez; Linda A Zotti
Journal:  Biomolecules       Date:  2019-09-19
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