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Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor.

Publication ,  Journal Article
Cochran, FV; Wu, SP; Wang, W; Nanda, V; Saven, JG; Therien, MJ; DeGrado, WF
Published in: Journal of the American Chemical Society
February 2005

We report the complete de novo design of a four-helix bundle protein that selectively binds the nonbiological DPP-Fe(III) metalloporphyrin cofactor (DPP-Fe(III) = 5, 15-Di[(4-carboxymethyleneoxy)phenyl]porphinato iron(III)). A tetrameric, D2-symmetric backbone scaffold was constructed to encapsulate two DPP-Fe(III) units through bis(His) coordination. The complete sequence was determined with the aid of the statistical computational design algorithm SCADS. The 34-residue peptide was chemically synthesized. UV-vis and CD spectroscopy, size-exclusion chromatography, and analytical ultracentrifugation indicated the peptide undergoes a transition from a predominantly random coil monomer to an alpha-helical tetramer upon binding DPP-Fe(III). EPR spectroscopy studies indicated the axial imidazole ligands were oriented in a perpendicular fashion, as defined by second-shell interactions that were included in the design. The 1-D 1H NMR spectrum of the assembled protein displayed features of a well-packed interior. The assembled protein possessed functional redox properties different from those of structurally similar systems containing the heme cofactor. The designed peptide demonstrated remarkable cofactor selectivity with a significantly weaker binding affinity for the natural heme cofactor. These findings open a path for the selective incorporation of more elaborate cofactors into designed scaffolds for constructing molecularly well-defined nanoscale materials.

Duke Scholars

Published In

Journal of the American Chemical Society

DOI

EISSN

1520-5126

ISSN

0002-7863

Publication Date

February 2005

Volume

127

Issue

5

Start / End Page

1346 / 1347

Related Subject Headings

  • Spectrophotometry, Ultraviolet
  • Protein Structure, Secondary
  • Protein Structure, Quaternary
  • Potentiometry
  • Molecular Sequence Data
  • Models, Molecular
  • Metalloproteins
  • Imidazoles
  • Heme
  • General Chemistry
 

Citation

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MLA
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Cochran, F. V., Wu, S. P., Wang, W., Nanda, V., Saven, J. G., Therien, M. J., & DeGrado, W. F. (2005). Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor. Journal of the American Chemical Society, 127(5), 1346–1347. https://doi.org/10.1021/ja044129a
Cochran, Frank V., Sophia P. Wu, Wei Wang, Vikas Nanda, Jeffery G. Saven, Michael J. Therien, and William F. DeGrado. “Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor.Journal of the American Chemical Society 127, no. 5 (February 2005): 1346–47. https://doi.org/10.1021/ja044129a.
Cochran FV, Wu SP, Wang W, Nanda V, Saven JG, Therien MJ, et al. Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor. Journal of the American Chemical Society. 2005 Feb;127(5):1346–7.
Cochran, Frank V., et al. “Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor.Journal of the American Chemical Society, vol. 127, no. 5, Feb. 2005, pp. 1346–47. Epmc, doi:10.1021/ja044129a.
Cochran FV, Wu SP, Wang W, Nanda V, Saven JG, Therien MJ, DeGrado WF. Computational de novo design and characterization of a four-helix bundle protein that selectively binds a nonbiological cofactor. Journal of the American Chemical Society. 2005 Feb;127(5):1346–1347.
Journal cover image

Published In

Journal of the American Chemical Society

DOI

EISSN

1520-5126

ISSN

0002-7863

Publication Date

February 2005

Volume

127

Issue

5

Start / End Page

1346 / 1347

Related Subject Headings

  • Spectrophotometry, Ultraviolet
  • Protein Structure, Secondary
  • Protein Structure, Quaternary
  • Potentiometry
  • Molecular Sequence Data
  • Models, Molecular
  • Metalloproteins
  • Imidazoles
  • Heme
  • General Chemistry