Evidence map›Paper›PMID 29101125›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Quantifying the limits of transition state theory in enzymatic catalysis.

Kirill Zinovjev, Iñaki Tuñón

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. 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. Cryo-kinetics Reveal Dynamic Effects on the Chemistry of Human Dihydrofolate Reductase.Chembiochem : a European journal of chemical biology · 2021
    Article
  6. Article
  7. Heavy Enzymes and the Rational Redesign of Protein Catalysts.Chembiochem : a European journal of chemical biology · 2019
    Article
  8. Article
  9. 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.

Kirill ZinovjevDepartament de Química Física, Universitat de València, 46100 Burjassot, Spain.
Iñaki TuñónDepartament de Química Física, Universitat de València, 46100 Burjassot, Spain ignacio.tunon@uv.es.ORCID 0000-0002-6995-1838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While being one of the most popular reaction rate theories, the applicability of transition state theory to the study of enzymatic reactions has been often challenged. The complex dynamic nature of the protein environment raised the question about the validity of the nonrecrossing hypothesis, a cornerstone in this theory. We present a computational strategy to quantify the error associated to transition state theory from the number of recrossings observed at the equicommittor, which is the best possible dividing surface. Application of a direct multidimensional transition state optimization to the hydride transfer step in human dihydrofolate reductase shows that both the participation of the protein degrees of freedom in the reaction coordinate and the error associated to the nonrecrossing hypothesis are small. Thus, the use of transition state theory, even with simplified reaction coordinates, provides a good theoretical framework for the study of enzymatic catalysis.

Indexed as

BiocatalysisMolecular Dynamics SimulationHumansIonsKineticsTetrahydrofolate DehydrogenaseIonsTetrahydrofolate Dehydrogenasedihydrofolate reductasedynamic effectsenzymatic catalysistransition state theorytransmission coefficient

Identifiers

PMID29101125
PMCPMC5703300

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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.