Evidence map›Paper›PMID 32378409›Full record

ArticleJournal of the American Chemical Society2020

A Preorganized Electric Field Leads to Minimal Geometrical Reorientation in the Catalytic Reaction of Ketosteroid Isomerase.

Yufan Wu, Stephen D Fried, Steven G Boxer

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Preorganized Electric Fields in Voltage-Gated Sodium Channels.Chembiochem : a European journal of chemical biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.Journal of chemical theory and computation · 2023
    Review
  9. Protein Dynamics and Enzymatic Catalysis.The journal of physical chemistry. B · 2023
    Review
  10. Article
  11. Article
  12. Setting Boundaries for Statistical Mechanics.Molecules (Basel, Switzerland) · 2022
    Review
  13. Perspective: Path Sampling Methods Applied to Enzymatic Catalysis.Journal of chemical theory and computation · 2022
    Review
  14. Article
  15. Article
  16. TUPÃ: Electric field analyses for molecular simulations.Journal of computational chemistry · 2022
    Article
  17. Accurate positioning of functional residues with robotics-inspired computational protein design.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Advances in optimizing enzyme electrostatic preorganization.Current opinion in structural biology · 2022
    Review
  19. Review
  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

3 authors at 1 institution in 1 country.

Yufan WuDepartment of Chemistry, Stanford University, Stanford, California 94305-5012, United States.ORCID 0000-0002-4050-9413
Stephen D FriedDepartment of Chemistry, Stanford University, Stanford, California 94305-5012, United States.ORCID 0000-0003-2494-2193
Steven G BoxerDepartment of Chemistry, Stanford University, Stanford, California 94305-5012, United States.ORCID 0000-0001-9167-4286
Stanford University · US

Funding

X-ray Absorption Spectroscopy (XAS) pp.711-759P41GM103393 · NIGMS · STANFORD UNIVERSITY · PI HODGSON, KEITH O · 2012 to 2019
$30.6M
Biophysical Studies of Macromolecules and Molecular AssembliesR35GM118044 · NIGMS · STANFORD UNIVERSITY · PI STEVEN G. BOXER · 2016 to 2026
$7.2M
NIGMS NIH HHS P41 GM103393NIGMS NIH HHS R35 GM118044
6 · The paper itself

Abstract

Electrostatic interactions play a pivotal role in enzymatic catalysis and are increasingly modeled explicitly in computational enzyme design; nevertheless, they are challenging to measure experimentally. Using vibrational Stark effect (VSE) spectroscopy, we have measured electric fields inside the active site of the enzyme ketosteroid isomerase (KSI). These studies have shown that these fields can be unusually large, but it has been unclear to what extent they specifically stabilize the transition state (TS) relative to a ground state (GS). In the following, we use crystallography and computational modeling to show that KSI's intrinsic electric field is nearly perfectly oriented to stabilize the geometry of its reaction's TS. Moreover, we find that this electric field adjusts the orientation of its substrate in the ground state so that the substrate needs to only undergo minimal structural changes upon activation to its TS. This work provides evidence that the active site electric field in KSI is preorganized to facilitate catalysis and provides a template for how electrostatic preorganization can be measured in enzymatic systems.

Indexed as

BiocatalysisElectricityKetosteroidsMolecular ConformationMolecular Dynamics SimulationSteroid IsomerasesThermodynamicsKetosteroidsSteroid Isomerases

Identifiers

PMID32378409
PMCPMC7474534
OpenAlexW3020936395

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.