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Record W4210805203 · doi:10.1128/mbio.02920-21

Structure of the Core Postfusion Porcine Endogenous Retrovirus Fusion Protein

2022· article· en· W4210805203 on OpenAlexafffund
Trevor T. Dean, Vitor Hugo Balasco Serrão, Jeffrey E. Lee

Bibliographic record

VenuemBio · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of Toronto
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchCanada Research ChairsGovernment of CanadaCanada Foundation for InnovationU.S. Department of Energy
KeywordsVirologyEndogenyRetrovirusFusion proteinFusionCore proteinCore (optical fiber)Endogenous retrovirusBiologyComputational biologyCell biologyVirusRecombinant DNAComputer scienceGeneGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Class I viral fusion proteins represent a diverse group of fusogens that catalyze membrane fusion. Although structural studies have focused on those from exogenous viruses, ancient retroviral infections of germ line cells have immortalized ancient fusogens in eukaryotic genomes. These "fossilized" glycoproteins are poorly defined compared to modern fusogens. In this study, we characterized and determined the structure of the porcine endogenous retrovirus fusogen, an ancient retroviral element captured by swine. This fusion protein revealed remarkable alignment to exogenous retroviral fusion proteins, suggesting that fossil fusogens utilize similar structural determinants to perform membrane fusion. Moreover, structural phylogenetic analysis demonstrates that class I viral fusogens cluster into distinct lineages defined by mechanism of membrane fusion. Our results suggest that structural dendrograms can be used to infer mechanistic insights for uncharacterized fusion proteins.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.259
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2022
Admission routes2
Has abstractyes

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