Evidence map›Paper›PMID 17307827›Full record

ArticleBiophysical journal2007

Finite element analysis of the time-dependent Smoluchowski equation for acetylcholinesterase reaction rate calculations.

Yuhui Cheng, Jason K Suen, Deqiang Zhang, Stephen D Bond, Yongjie Zhang, Yuhua Song, Nathan A Baker, Chandrajit L Bajaj, Michael J Holst, J Andrew McCammon

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Improvements to the APBS biomolecular solvation software suite.Protein science : a publication of the Protein Society · 2018
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. PROTO-PLASM: parallel language for adaptive and scalable modelling of biosystems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2008
    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

10 authors.

Yuhui ChengHoward Hughes Medical Institute, University of California at San Diego, La Jolla, California, USA. ycheng@mccammon.ucsd.edu
Jason K Suen
Deqiang Zhang
Stephen D Bond
Yongjie Zhang
Yuhua Song
Nathan A Baker
Chandrajit L Bajaj
Michael J Holst
J Andrew McCammon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the numerical solution of the time-dependent Smoluchowski equation to study diffusion in biomolecular systems. Specifically, finite element methods have been developed to calculate ligand binding rate constants for large biomolecules. The resulting software has been validated and applied to the mouse acetylcholinesterase (mAChE) monomer and several tetramers. Rates for inhibitor binding to mAChE were calculated at various ionic strengths with several different time steps. Calculated rates show very good agreement with experimental and theoretical steady-state studies. Furthermore, these finite element methods require significantly fewer computational resources than existing particle-based Brownian dynamics methods and are robust for complicated geometries. The key finding of biological importance is that the rate accelerations of the monomeric and tetrameric mAChE that result from electrostatic steering are preserved under the non-steady-state conditions that are expected to occur in physiological circumstances.

Indexed as

Models, ChemicalModels, MolecularAcetylcholinesteraseAlgorithmsComputer SimulationDiffusionEnzyme ActivationFinite Element AnalysisKineticsProtein ConformationAcetylcholinesterase

Identifiers

PMID17307827
PMCPMC1853150

What OpenQuestion holds

Textmetadata
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.