Evidence map›Paper›PMID 27498640›Full record

ArticleMethods in enzymology2016

QM/MM Analysis of Transition States and Transition State Analogues in Metalloenzymes.

D Roston, Q Cui

Abstract read
In one paragraph

Article in Methods in enzymology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Extensive free-energy simulations identify water as the base in nucleotide addition by DNA polymerase.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  7. Two symmetric arginine residues play distinct roles inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Article
  9. PolarizableMolecules (Basel, Switzerland) · 2018
    Article
  10. Article
  11. Article
  12. 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.

D RostonTheoretical Chemistry Institute, University of Wisconsin-Madison, Madison, WI, United States. Electronic address: droston@chem.wisc.edu.
Q CuiTheoretical Chemistry Institute, University of Wisconsin-Madison, Madison, WI, United States. Electronic address: cui@chem.wisc.edu.

Funding

Development and application of QM/MM methods for metalloenzymesR01GM106443 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CUI, QIANG · 2013 to 2020
$2.3M
Exploring Catalytic Modules in Alkaline Phosphatase by Computer SimulationF32GM112371 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI ROSTON, DANIEL · 2015 to 2017
$109k
NIGMS NIH HHS F32 GM112371NIGMS NIH HHS R01 GM106443
6 · The paper itself

Abstract

Enzymology is approaching an era where many problems can benefit from computational studies. While ample challenges remain in quantitatively predicting behavior for many enzyme systems, the insights that often come from computations are an important asset for the enzymology community. Here we provide a primer for enzymologists on the types of calculations that are most useful for mechanistic problems in enzymology. In particular, we emphasize the integration of models that range from small active-site motifs to fully solvated enzyme systems for cross-validation and dissection of specific contributions from the enzyme environment. We then use a case study of the enzyme alkaline phosphatase to illustrate specific application of the methods. The case study involves examination of the binding modes of putative transition state analogues (tungstate and vanadate) to the enzyme. The computations predict covalent binding of these ions to the enzymatic nucleophile and that they adopt the trigonal bipyramidal geometry of the expected transition state. By comparing these structures with transition states found through free energy simulations, we assess the degree to which the transition state analogues mimic the true transition states. Technical issues worth treating with care as well as several remaining challenges to quantitative analysis of metalloenzymes are also highlighted during the discussion.

Indexed as

Molecular Dynamics SimulationQuantum TheoryAlkaline PhosphataseAnimalsCatalytic DomainHumansMetalloproteinsProtein BindingTungsten CompoundsVanadatesAlkaline PhosphataseMetalloproteinstungstateTungsten CompoundsVanadatesMetalloenzymesPhosphoryl transferQM/MMTransition stateTransition state analogue

Identifiers

PMID27498640
PMCPMC5705176

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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.