Evidence map›Paper›PMID 25525245›Full record

ArticleScience (New York, N.Y.)2014

Extreme electric fields power catalysis in the active site of ketosteroid isomerase.

Stephen D Fried, Sayan Bagchi, Steven G Boxer

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed
13.2field-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

192 citing papers in PubMed, 587 citations in OpenAlex.

  1. Article
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  4. High-throughput physics-based enzyme engineering.bioRxiv : the preprint server for biology · 2026
    Article
  5. Predicting Activation Barriers With Ring and Bond Critical Points in the Kemp Elimination Reaction.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
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  15. Review
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132 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Stephen D FriedDepartment of Chemistry, Stanford University, Stanford, CA 94305-1052, USA.
Sayan BagchiDepartment of Chemistry, Stanford University, Stanford, CA 94305-1052, USA.
Steven G BoxerDepartment of Chemistry, Stanford University, Stanford, CA 94305-1052, USA. sboxer@stanford.edu.
Stanford University · US

Funding

NMR &CIDNP STUDIES OF MB MUTANTS &OLIGONUCLEOTIDE LOOPR01GM027738 · NIGMS · STANFORD UNIVERSITY · PI BOXER, STEVEN G. · 1985 to 2016
$4.3M
ELECTROSTATICS AND DYNAMICS IN MYOGLOBIN MUTANTSR37GM027738 · NIGMS · STANFORD UNIVERSITY · PI BOXER, STEVEN G. · 1994 to 2003
$1.2M
NIGMS NIH HHS GM27738NIGMS NIH HHS R01 GM027738NIGMS NIH HHS R37 GM027738
6 · The paper itself

Abstract

Enzymes use protein architecture to impose specific electrostatic fields onto their bound substrates, but the magnitude and catalytic effect of these electric fields have proven difficult to quantify with standard experimental approaches. Using vibrational Stark effect spectroscopy, we found that the active site of the enzyme ketosteroid isomerase (KSI) exerts an extremely large electric field onto the C=O chemical bond that undergoes a charge rearrangement in KSI's rate-determining step. Moreover, we found that the magnitude of the electric field exerted by the active site strongly correlates with the enzyme's catalytic rate enhancement, enabling us to quantify the fraction of the catalytic effect that is electrostatic in origin. The measurements described here may help explain the role of electrostatics in many other enzymes and biomolecular systems.

Indexed as

Static ElectricityCarbonCatalysisCatalytic DomainKetosteroidsMicroscopyOxygenSteroid IsomerasesVibrationCarbonKetosteroidsOxygenSteroid Isomerases

Identifiers

PMID25525245
PMCPMC4668018
OpenAlexW2133852950

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.