Evidence map›Paper›PMID 41422715›Full record

ReviewJournal of inorganic biochemistry2026

From single step hops to emergent biological phenomena.

Andrew J Smith, Cadmus D Chen, Bochu Wang, Xiao Huang, Chenfengtao Zheng, Youhyun Nam, David N Beratan

Abstract readReview
In one paragraph

Review in Journal of inorganic biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Andrew J SmithDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Cadmus D ChenDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Bochu WangDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Xiao HuangDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Chenfengtao ZhengDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Youhyun NamDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
David N BeratanDepartment of Chemistry, Duke University, Durham, NC 27708, USA; Department of Biochemistry, Duke University, Durham, NC 27710, USA; Department of Physics, Duke University, Durham, NC 27708, USA. Electronic address: david.beratan@duke.edu.

Funding

MAPPING OF ELECTRON TUNNELING PATHWAYS IN PROTEINSR01GM048043 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DAVID BERATAN · 1993 to 2026
$6.0M
NIGMS NIH HHS R01 GM048043
6 · The paper itself

Abstract

Charge transfer and transport are fundamental to chemistry and biochemistry. Since the 1950s, theorists and experimentalists have advanced the field to develop a molecular-level understanding of single-electron/one-step electron transfer, and ongoing studies explore multi-step, multi-electron, and multi-particle transfer and transport. This review highlights studies from our group on electron transfer beyond the one-electron/one-step regime. In particular, we review progress on electron bifurcation reactions, ultra-long range hopping transport in cable bacteria and bacterial nanowires, oxidative damage pathways, and charge transport pathways in nucleic acids. We highlight emerging themes and mechanisms across biological structures, including the roles being discovered for electron-electron correlations, rapid long-range multi-step biological electron transport, unconventional charge transport pathways, and competing charge transfer mechanisms.

Indexed as

ElectronsBacteriaElectron TransportNanowiresBacterial nanowiresCable bacteriaCharge transferCharge transportElectron bifurcationElectron transferOxidative stress

Identifiers

PMID41422715
PMCPMC12756908

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.