Evidence map›Paper›PMID 41000818›Full record

ArticlebioRxiv : the preprint server for biology2025

Methionine matters: a common mechanism of viral inhibition of host defense identified via AI-assisted molecular dynamics.

Skye J Bixler, Gregory A Babbitt, Liv K Casperson, Maureen C Ferran

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Skye J BixlerGosnell School for Life Sciences, Rochester Institute of Technology.
Gregory A BabbittGosnell School for Life Sciences, Rochester Institute of Technology.ORCID 0000-0003-4421-6527
Liv K CaspersonGosnell School for Life Sciences, Rochester Institute of Technology.
Maureen C FerranGosnell School for Life Sciences, Rochester Institute of Technology.ORCID 0000-0002-0515-8582

Funding

NFkB-dependent antiviral pathways in VSV-resistant cancer cellsR15CA246419 · NCI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI FERRAN, MAUREEN C · 2021 to 2021
$451k
NCI NIH HHS R15 CA246419
6 · The paper itself

Abstract

Diverse groups of viruses infecting higher eukaryotes inhibit mRNA export via physical blockage of the Rae1-Nup98 complex within the host cell's nucleopore. This is thought to most often involve the critical placement of hydrophilic flanked single methionine residues along polypeptide extensions that reach into the nucleopore. However, it is unknown how this presumably conserved mechanism might function across diverse viral taxa. Here we employ a comparative molecular dynamics (MD) approach comparing motions of wild-type and mutant viral proteins in Rae-Nup98 bound vs. unbound states. Our comparisons of MD simulations are enhanced by kernel-based denoising allowing the isolation of non-random functional dynamics from random thermal noise. We demonstrate that despite large structural differences, three evolutionarily distinct viral systems (i.e. VSV M protein, SARS-CoV2 ORF 6, and KSHV ORF 10) share nearly identical single methionine-dependent functional dynamics related to the host cell inhibition of nuclear transport. This finding strongly supports a convergently-evolved common functional mechanism across viruses involving specific structural placement of non-polar residues like methionine and potentially providing a common therapeutic target for broad spectrum anti-viral treatment.

Indexed as

antiviralATOMDANCEKSHV ORF10machine-learningmatrix (M)methioninemolecular dynamicsmRNA exportnuclear poreNup98ORF6Rae1SARS-CoVsimulationsVSV

Identifiers

PMID41000818
PMCPMC12458179

What OpenQuestion holds

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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.