Evidence map›Paper›PMID 34783344›Full record

ReviewBiochemical Society transactions2021

Computational methods to study enveloped viral entry.

Alzbeta Tuerkova, Peter M Kasson

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Alzbeta TuerkovaScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala 75124, Sweden.
Peter M KassonScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala 75124, Sweden.ORCID 0000-0002-3111-8103

Funding

Hardening and Development of the GROMACS Molecular Simulation EngineR01GM115790 · NIGMS · UNIVERSITY OF VIRGINIA · PI KASSON, PETER M, SHIRTS, MICHAEL R · 2016 to 2020
$1.1M
NIGMS NIH HHS R01 GM115790
6 · The paper itself

Abstract

The protein-membrane interactions that mediate viral infection occur via loosely ordered, transient assemblies, creating challenges for high-resolution structure determination. Computational methods and in particular molecular dynamics simulation have thus become important adjuncts for integrating experimental data, developing mechanistic models, and suggesting testable hypotheses regarding viral function. However, the large molecular scales of virus-host interaction also create challenges for detailed molecular simulation. For this reason, continuum membrane models have played a large historical role, although they have become less favored for high-resolution models of protein assemblies and lipid organization. Here, we review recent progress in the field, with an emphasis on the insight that has been gained using a mixture of coarse-grained and atomic-resolution molecular dynamics simulations. Based on successes and challenges to date, we suggest a multiresolution strategy that should yield the best mixture of computational efficiency and physical fidelity. This strategy may facilitate further simulations of viral entry by a broader range of viruses, helping illuminate the diversity of viral entry strategies and the essential common elements that can be targeted for antiviral therapies.

Indexed as

Virus InternalizationComputational BiologyHost-Pathogen InteractionsMolecular Dynamics SimulationVirus Diseasesenveloped virusesmembrane fusionmolecular dynamicsviral entry

Identifiers

PMID34783344
PMCPMC10184508

What OpenQuestion holds

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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.