Evidence map›Paper›PMID 37563323›Full record

ArticleNature chemistry2023

Enhanced active-site electric field accelerates enzyme catalysis.

Chu Zheng, Zhe Ji, Irimpan I Mathews, Steven G Boxer

Open access · greenAbstract read
In one paragraph

Article in Nature chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
12.5field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 84 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Semiartificial COChemical reviews · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. The Discovery ofACS catalysis · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Peeling tape produces strong electric fields via stick-slip friction that drive chemical reactions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. Preorganized Electric Fields in Voltage-Gated Sodium Channels.Chembiochem : a European journal of chemical biology · 2025
    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

4 authors at 2 institutions in 1 country.

Chu Zheng *Department of Chemistry, Stanford University, Stanford, CA, USA.ORCID 0000-0003-3309-208X
Zhe Ji *Department of Chemistry, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8532-333X
Irimpan I MathewsStanford Synchrotron Radiation Lightsource, Menlo Park, CA, USA.
Steven G BoxerDepartment of Chemistry, Stanford University, Stanford, CA, USA. sboxer@stanford.edu.ORCID 0000-0001-9167-4286
Stanford University · USStanford Synchrotron Radiation Lightsource · US

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
Biophysical Studies of Macromolecules and Molecular AssembliesR35GM118044 · NIGMS · STANFORD UNIVERSITY · PI STEVEN G. BOXER · 2016 to 2026
$7.2M
NIGMS NIH HHS P30 GM133894NIGMS NIH HHS R35 GM118044
6 · The paper itself

Abstract

The design and improvement of enzymes based on physical principles remain challenging. Here we demonstrate that the principle of electrostatic catalysis can be leveraged to substantially improve a natural enzyme's activity. We enhanced the active-site electric field in horse liver alcohol dehydrogenase by replacing the serine hydrogen-bond donor with threonine and replacing the catalytic Zn

Indexed as

SerineAnimalsCatalysisCatalytic DomainHorsesKineticsStatic ElectricitySerine

Identifiers

PMID37563323
PMCPMC10906027
OpenAlexW4385741449

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.