Evidence map›Paper›PMID 15189840›Full record

ArticleBiophysical journal2004

Brownian adhesive dynamics (BRAD) for simulating the receptor-mediated binding of viruses.

Thomas J English, Daniel A Hammer

Abstract read
In one paragraph

Article in Biophysical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Computational methods to study enveloped viral entry.Biochemical Society transactions · 2021
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Kinetic Modeling of Virus Growth in Cells.Microbiology and molecular biology reviews : MMBR · 2018
    Review
  11. Evolution of Multivalent Nanoparticle Adhesion via Specific Molecular Interactions.Langmuir : the ACS journal of surfaces and colloids · 2016
    Article
  12. Article
  13. Article
  14. Adhesive dynamics.Journal of biomechanical engineering · 2014
    Review
  15. Review
  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

2 authors.

Thomas J EnglishDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Daniel A Hammer

Funding

DETERMINANTS OF DYNAMICS OF CELL ADHESION UNDER FLOWR01EB000256 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI HAMMER, DANIEL A · 2002 to 2003
$453k
NIBIB NIH HHS EB-00256NIBIB NIH HHS R01 EB000256
6 · The paper itself

Abstract

Current viral docking models have relied upon the assumption that bond formation and breakage are independent of viral and docking surface geometry, as well as the forces exerted on the bonds. This assumption, known as the equivalent site hypothesis (ESH), is examined in detail using a newly developed simulation technique-Brownian adhesive dynamics (BRAD). The simulation couples the thermal motion of viral particles with adhesive dynamics models to characterize the effect of bonding on viral motion. We use the binding of HIV-like particles to CD4 expressing cells as a model system to illustrate the utility of BRAD. Comparison of the transition rates between bound states predicted by ESH and the rates resulting from BRAD simulations show dramatic differences; at values of the equilibrium crosslinking constant, K(x)R(T), where ESH suggests all virus adhesion proteins will be bound (K(x)R(T) = 10(6)), BRAD predicts not all virus adhesion proteins will be bound. At values of the equilibrium crosslinking constant used in typical ESH calculations of virus docking (K(x)R(T) = 1) we find BRAD simulations predict no binding. The mean bond density from BRAD models is often much lower than that predicted by ESH for equivalent parameter values. BRAD suggests that the viruses are much less well bound than ESH predicts. The differences suggest that binding models for viruses need to be reexamined closely. BRAD is a simulation technique that will be useful for quantifying the receptor-mediated binding of a wide variety of viruses to cells.

Indexed as

AlgorithmsComputer SimulationModels, MolecularHIVProtein BindingViral ProteinsVirusesViral Proteins

Identifiers

PMID15189840
PMCPMC1304245

What OpenQuestion holds

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Read underepoch 390

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.