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Record W2321213790 · doi:10.1089/vim.2014.0066

Immune Evasion in Ebolavirus Infections

2014· review· en· W2321213790 on OpenAlexaff
Jonathan Audet, Gary Wong

Bibliographic record

VenueViral Immunology · 2014
Typereview
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsPublic Health Agency of CanadaUniversity of Manitoba
Fundersnot available
KeywordsBiologyEbola virusImmune systemVirologyTetherinEbolavirusAntibodyVirusImmunologyViral replication

Abstract

fetched live from OpenAlex

Ebola virus (EBOV) infects humans as well as several animal species. It can lead to a highly lethal disease, with mortality rates approaching 90% in primates. Recent advances have deepened our understanding of how this virus is able to prevent the development of protective immune responses. The EBOV genome encodes eight proteins, four of which were shown to interact with the host in ways that counteract the immune response. The viral protein 35 (VP35) is capable of capping dsRNA and interacts with IRF7 to prevent detection of the virus by immune cells. The main role of the soluble glycoprotein (sGP) is still unclear, but it is capable of subverting the anti-GP1,2 antibody response. The GP1,2 protein has shown anti-tetherin activity and the ability to hide cell-surface proteins. Finally, VP24 interferes with the production of interferons (IFNs) and with IFN signaling in infected cells. Taken together, these data point to extensive adaptation of EBOV to evade the immune system of dead end hosts. While our understanding of the interactions between the human and viral proteins increases, details of those interactions in other hosts remain largely unclear and represent a gap in our knowledge.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.054
GPT teacher head0.408
Teacher spread0.354 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations39
Published2014
Admission routes1
Has abstractyes

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