Evidence map›Paper›PMID 22278388›Full record

ReviewChemical Society reviews2012

A practical guide to modelling enzyme-catalysed reactions.

Richard Lonsdale, Jeremy N Harvey, Adrian J Mulholland

Abstract readReview
In one paragraph

Review in Chemical Society reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Mechanism of Biochemical NO-Sensing: Insights from Computational Chemistry.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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.

Richard LonsdaleCentre for Computational Chemistry, University of Bristol, Cantock's Close, Bristol, BS8 1TS, UK.
Jeremy N Harvey
Adrian J Mulholland

Funding

Understanding hydrogen atom transfer reactions in enzymesR01GM093088 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARSH, E NEIL · 2010 to 2023
$3.5M
Biotechnology and Biological Sciences Research Council BB/L01386X/1NIGMS NIH HHS R01 GM093088
6 · The paper itself

Abstract

Molecular modelling and simulation methods are increasingly at the forefront of elucidating mechanisms of enzyme-catalysed reactions, and shedding light on the determinants of specificity and efficiency of catalysis. These methods have the potential to assist in drug discovery and the design of novel protein catalysts. This Tutorial Review highlights some of the most widely used modelling methods and some successful applications. Modelling protocols commonly applied in studying enzyme-catalysed reactions are outlined here, and some practical implications are considered, with cytochrome P450 enzymes used as a specific example.

Indexed as

BiocatalysisModels, MolecularAnimalsCytochrome P-450 Enzyme SystemEnzymesQuantum TheoryThermodynamicsCytochrome P-450 Enzyme SystemEnzymes

Identifiers

PMID22278388
PMCPMC3371381

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.