Published June 12, 2018 | Version Published + Supplemental Material
Journal Article Open

Fluctuating hydrogen-bond networks govern anomalous electron transfer kinetics in a blue copper protein

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Massachusetts Institute of Technology
  • 3. ROR icon Simon Fraser University

Abstract

We combine experimental and computational methods to address the anomalous kinetics of long-range electron transfer (ET) in mutants of Pseudomonas aeruginosa azurin. ET rates and driving forces for wild type (WT) and three N47X mutants (X = L, S, and D) of Ru(2,2′-bipyridine)2 (imidazole)(His83) azurin are reported. An enhanced ET rate for the N47L mutant suggests either an increase of the donor–acceptor (DA) electronic coupling or a decrease in the reorganization energy for the reaction. The underlying atomistic features are investigated using a recently developed nonadiabatic molecular dynamics method to simulate ET in each of the azurin mutants, revealing unexpected aspects of DA electronic coupling. In particular, WT azurin and all studied mutants exhibit more DA compression during ET (>2 Å) than previously recognized. Moreover, it is found that DA compression involves an extended network of hydrogen bonds, the fluctuations of which gate the ET reaction, such that DA compression is facilitated by transiently rupturing hydrogen bonds. It is found that the N47L mutant intrinsically disrupts this hydrogen-bond network, enabling particularly facile DA compression. This work, which reveals the surprisingly fluctional nature of ET in azurin, suggests that hydrogen-bond networks can modulate the efficiency of long-range biological ET.

Additional Information

© 2018 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). Edited by Michael L. Klein, Temple University, Philadelphia, PA, and approved May 4, 2018 (received for review April 3, 2018). Published ahead of print May 29, 2018. This work was supported by the NIH under Award R01DK019038 (to H.B.G. and J.R.W.) and by the NSF under Award CHE-1611581 (to T.F.M.). Additional support was provided by NIH Grant GM095037 (to J.J.W.), the Arnold and Mabel Beckman Foundation, and NSF Grant DGE-1144469 (to J.S.K.). Author contributions: J.S.K., N.B., J.J.W., J.R.W., H.B.G., and T.F.M. designed research; J.S.K., N.B., and J.J.W. performed research; J.S.K., N.B., J.J.W., J.R.W., H.B.G., and T.F.M. analyzed data; and J.S.K., N.B., J.J.W., J.R.W., H.B.G., and T.F.M. wrote the paper. The authors declare no conflict of interest. This article is a PNAS Direct Submission. This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1805719115/-/DCSupplemental.

Attached Files

Published - 6129.full.pdf

Supplemental Material - pnas.1805719115.sapp.pdf

Supplemental Material - pnas.1805719115.sd01.txt

Supplemental Material - pnas.1805719115.sd02.txt

Supplemental Material - pnas.1805719115.sd03.txt

Supplemental Material - pnas.1805719115.sd04.txt

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Additional details

Identifiers

PMCID
PMC6004490
Eprint ID
86677
Resolver ID
CaltechAUTHORS:20180529-142106727

Funding

NIH
R01DK019038
NSF
CHE-1611581
NIH
GM095037
Arnold and Mabel Beckman Foundation
NSF Graduate Research Fellowship
DGE-1144469

Dates

Created
2018-05-29
Created from EPrint's datestamp field
Updated
2022-03-10
Created from EPrint's last_modified field