Evidence map›Paper›PMID 25307316›Full record

ReviewAccounts of chemical research2015

Charge transfer in dynamical biosystems, or the treachery of (static) images.

David N Beratan, Chaoren Liu, Agostino Migliore, Nicholas F Polizzi, Spiros S Skourtis, Peng Zhang, Yuqi Zhang

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

  1. Molecular strategies for flux control in an electron bifurcation protein.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026
    Article
  2. Sources of non-Arrhenius electron transport in bacterial nanowires.Physical chemistry chemical physics : PCCP · 2026
    Article
  3. Article
  4. Review
  5. From single step hops to emergent biological phenomena.Journal of inorganic biochemistry · 2026
    Review
  6. Review
  7. Article
  8. How Rigid Are Anthranilamide Molecular Electrets?The journal of physical chemistry. B · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Structure ofeLife · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David N BeratanDepartment of Chemistry, ‡Department of Biochemistry and §Department of Physics, Duke University , Durham, North Carolina 27708, United States.
Chaoren Liu
Agostino Migliore
Nicholas F Polizzi
Spiros S Skourtis
Peng Zhang
Yuqi Zhang

Funding

MAPPING OF ELECTRON TUNNELING PATHWAYS IN PROTEINSR01GM048043 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DAVID BERATAN · 1993 to 2026
$6.0M
Charge-Transfer Dynamics Relevant to Protein-Mediated Energy TransductionR01GM071628 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI THERIEN, MICHAEL J · 2004 to 2014
$2.3M
NIGMS NIH HHS GM-48043NIGMS NIH HHS GM-71628NIGMS NIH HHS R01 GM048043
6 · The paper itself

Abstract

conspectusThe image is not the thing. Just as a pipe rendered in an oil painting cannot be smoked, quantum mechanical coupling pathways rendered on LCDs do not convey electrons. The aim of this Account is to examine some of our recent discoveries regarding biological electron transfer (ET) and transport mechanisms that emerge when one moves beyond treacherous static views to dynamical frameworks. Studies over the last two decades introduced both atomistic detail and macromolecule dynamics to the description of biological ET. The first model to move beyond the structureless square-barrier tunneling description is the Pathway model, which predicts how protein secondary motifs and folding-induced through-bond and through-space tunneling gaps influence kinetics. Explicit electronic structure theory is applied routinely now to elucidate ET mechanisms, to capture pathway interferences, and to treat redox cofactor electronic structure effects. Importantly, structural sampling of proteins provides an understanding of how dynamics may change the mechanisms of biological ET, as ET rates are exponentially sensitive to structure. Does protein motion average out tunneling pathways? Do conformational fluctuations gate biological ET? Are transient multistate resonances produced by energy gap fluctuations? These questions are becoming accessible as the static view of biological ET recedes and dynamical viewpoints take center stage. This Account introduces ET reactions at the core of bioenergetics, summarizes our team's progress toward arriving at an atomistic-level description, examines how thermal fluctuations influence ET, presents metrics that characterize dynamical effects on ET, and discusses applications in very long (micrometer scale) bacterial nanowires. The persistence of structural effects on the ET rates in the face of thermal fluctuations is considered. Finally, the flickering resonance (FR) view of charge transfer is presented to examine how fluctuations control low-barrier transport among multiple groups in van der Waals contact. FR produces exponential distance dependence in the absence of tunneling; the exponential character emerges from the probability of matching multiple vibronically broadened electronic energies within a tolerance defined by the rms coupling among interacting groups. FR thus produces band like coherent transport on the nanometer length scale, enabled by conformational fluctuations. Taken as a whole, the emerging context for ET in dynamical biomolecules provides a robust framework to design and interpret the inner workings of bioenergetics from the molecular to the cellular scale and beyond, with applications in biomedicine, biocatalysis, and energy science.

Indexed as

Electron TransportMacromolecular SubstancesTemperatureWaterMacromolecular SubstancesWater

Identifiers

PMID25307316
PMCPMC4333612

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.