Evidence map›Paper›PMID 23840058›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Thermodynamic framework for identifying free energy inventories of enzyme catalytic cycles.

Stephen D Fried, Steven G Boxer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Quantum delocalization of protons in the hydrogen-bond network of an enzyme active site.Proceedings of the National Academy of Sciences of the United States of America · 2014
    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

2 authors.

Stephen D FriedDepartment of Chemistry, Stanford University, Stanford, CA 94305-5012, USA.
Steven G Boxer

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

Pauling's suggestion that enzymes are complementary in structure to the activated complexes of the reactions they catalyze has provided the conceptual basis to explain how enzymes obtain their fantastic catalytic prowess, and has served as a guiding principle in drug design for over 50 y. However, this model by itself fails to predict the magnitude of enzymes' rate accelerations. We construct a thermodynamic framework that begins with the classic concept of differential binding but invokes additional terms that are needed to account for subtle effects in the catalytic cycle's proton inventory. Although the model presented can be applied generally, this analysis focuses on ketosteroid isomerase (KSI) as an example, where recent experiments along with a large body of kinetic and thermodynamic data have provided strong support for the noncanonical thermodynamic contribution described. The resulting analysis precisely predicts the free energy barrier of KSI's reaction as determined from transition-state theory using only empirical thermodynamic data. This agreement is suggestive that a complete free energy inventory of the KSI catalytic cycle has been identified.

Indexed as

ThermodynamicsCatalysisHydrogen-Ion ConcentrationModels, ChemicalSteroid IsomerasesSteroid Isomerasesdifferential acidityenzyme catalysisPauling’s paradigmtransition state stabilization

Identifiers

PMID23840058
PMCPMC3725039

What OpenQuestion holds

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Registered trials

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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.