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PDBsum entry 3in2

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protein metals links
Electron transport PDB id
3in2

 

 

 

 

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Contents
Protein chain
128 a.a. *
Metals
_CU
Waters ×84
* Residue conservation analysis
PDB id:
3in2
Name: Electron transport
Title: Crystal structure of the n47s/m121l variant of pseudomonas aeruginosa azurin in the cu(ii) state
Structure: Azurin. Chain: a. Engineered: yes. Mutation: yes. Other_details: n47s/m121l variant of azurin
Source: Pseudomonas aeruginosa. Organism_taxid: 287. Gene: azu, pa4922. Expressed in: escherichia coli. Expression_system_taxid: 562.
Resolution:
2.60Å     R-factor:   0.238     R-free:   0.266
Authors: Y.G.Gao,H.Robinson
Key ref:
N.M.Marshall et al. (2009). Rationally tuning the reduction potential of a single cupredoxin beyond the natural range. Nature, 462, 113-116. PubMed id: 19890331 DOI: 10.1038/nature08551
Date:
11-Aug-09     Release date:   17-Nov-09    
PROCHECK
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 Headers
 References

Protein chain
Pfam   ArchSchema ?
P00282  (AZUR_PSEAE) -  Azurin from Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)
Seq:
Struc:
148 a.a.
128 a.a.*
Key:    PfamA domain  Secondary structure  CATH domain
* PDB and UniProt seqs differ at 2 residue positions (black crosses)

 

 
DOI no: 10.1038/nature08551 Nature 462:113-116 (2009)
PubMed id: 19890331  
 
 
Rationally tuning the reduction potential of a single cupredoxin beyond the natural range.
N.M.Marshall, D.K.Garner, T.D.Wilson, Y.G.Gao, H.Robinson, M.J.Nilges, Y.Lu.
 
  ABSTRACT  
 
Redox processes are at the heart of numerous functions in chemistry and biology, from long-range electron transfer in photosynthesis and respiration to catalysis in industrial and fuel cell research. These functions are accomplished in nature by only a limited number of redox-active agents. A long-standing issue in these fields is how redox potentials are fine-tuned over a broad range with little change to the redox-active site or electron-transfer properties. Resolving this issue will not only advance our fundamental understanding of the roles of long-range, non-covalent interactions in redox processes, but also allow for design of redox-active proteins having tailor-made redox potentials for applications such as artificial photosynthetic centres or fuel cell catalysts for energy conversion. Here we show that two important secondary coordination sphere interactions, hydrophobicity and hydrogen-bonding, are capable of tuning the reduction potential of the cupredoxin azurin over a 700 mV range, surpassing the highest and lowest reduction potentials reported for any mononuclear cupredoxin, without perturbing the metal binding site beyond what is typical for the cupredoxin family of proteins. We also demonstrate that the effects of individual structural features are additive and that redox potential tuning of azurin is now predictable across the full range of cupredoxin potentials.
 
  Selected figure(s)  
 
Figure 1.
Figure 1: X-ray structures of Az and selected variants. a, Native azurin (PDB 4AZU). b, N47S/M121L azurin: N47S affects the rigidity of the copper binding site and, probably, the direct hydrogen bonds between the protein backbone and Cys 112. c, N47S/F114N azurin: introducing a hydrogen-bond donor at position 114 perturbs hydrogen-bonding near the copper binding site, possibly disrupting donor–acceptor interactions to His 117, or ionic interactions between the copper and the carbonyl oxygen of Gly 45. d, F114P/M121Q azurin: F114P deletes a direct hydrogen bond to Cys 112 resulting in a lower redox potential. The ultraviolet–visible spectroscopy of the F114P-containing variants shows a significant increase in the copper d arrow d absorbance range around 800 nm. This increased absorbance suggests slight rearrangement of the copper binding site, but is consistent with F114P Az^27 and other T1 copper proteins, such as plastocyanin^9. In all panels copper is shown in green, carbon in cyan, nitrogen in blue, oxygen in red and sulphur in yellow. Hydrogen-bonding interactions are shown by dashed red lines.
Figure 2.
Figure 2: Rational tuning of the reduction potential of Az. a, Plot of E^o at pH 7.0 versus log P for the Az mutants from this study (here P is the partition coefficient of the side chain of the residue between octanol and water; that is, it is a measure of hydrophobicity). The lowest reported E^o (dashed orange line) at pH 7.0 for any T1 cupredoxin before this study, M86Q pseudoazurin, is indicated. The highest E^o (dashed purple line) at pH 6.2 of any T1 cupredoxin variant before this study, M148L Rc, is also indicated; its potential was not measured at pH 7.0 owing to protein instability. Considering the pH trend of the E^o of all cupredoxins, this reported value for M148L Rc would be lower at pH 7.0. b, Plot showing the E^o value for each azurin variant at pH 7.0 unless otherwise noted. Not only is the redox potential of Az tunable to the extremes of the redox potentials attainable by T1 cupredoxins, but to nearly any redox potential within the range. Error bars, 1 s.d.
 
  The above figures are reprinted by permission from Macmillan Publishers Ltd: Nature (2009, 462, 113-116) copyright 2009.  

Literature references that cite this PDB file's key reference

  PubMed id Reference
21276936 J.Chaboy, S.Díaz-Moreno, I.Díaz-Moreno, M.A.De la Rosa, and A.Díaz-Quintana (2011).
How the local geometry of the Cu-binding site determines the thermal stability of blue copper proteins.
  Chem Biol, 18, 25-31.  
21258692 M.Choi, and V.L.Davidson (2011).
Cupredoxins--a study of how proteins may evolve to use metals for bioenergetic processes.
  Metallomics, 3, 140-151.  
21153850 S.M.Berry, E.L.Bladholm, E.J.Mostad, and A.R.Schenewerk (2011).
Incorporation of the red copper nitrosocyanin binding loop into blue copper azurin.
  J Biol Inorg Chem, 16, 473-480.  
20372697 J.A.Worrall, and E.Vijgenboom (2010).
Copper mining in Streptomyces: enzymes, natural products and development.
  Nat Prod Rep, 27, 742-756.  
20812736 J.A.Zuris, D.A.Halim, A.R.Conlan, E.C.Abresch, R.Nechushtai, M.L.Paddock, and P.A.Jennings (2010).
Engineering the redox potential over a wide range within a new class of FeS proteins.
  J Am Chem Soc, 132, 13120-13122.  
20169379 M.G.Savelieff, and Y.Lu (2010).
Cu(A) centers and their biosynthetic models in azurin.
  J Biol Inorg Chem, 15, 461-483.  
20133828 Y.Lu (2010).
Metal ions as matchmakers for proteins.
  Proc Natl Acad Sci U S A, 107, 1811-1812.  
20421510 Y.W.Lin, N.Yeung, Y.G.Gao, K.D.Miner, S.Tian, H.Robinson, and Y.Lu (2010).
Roles of glutamates and metal ions in a rationally designed nitric oxide reductase based on myoglobin.
  Proc Natl Acad Sci U S A, 107, 8581-8586.
PDB codes: 3m38 3m39 3m3a 3m3b
The most recent references are shown first. Citation data come partly from CiteXplore and partly from an automated harvesting procedure. Note that this is likely to be only a partial list as not all journals are covered by either method. However, we are continually building up the citation data so more and more references will be included with time. Where a reference describes a PDB structure, the PDB codes are shown on the right.

 

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