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Record W1562632119 · doi:10.1007/978-3-7643-7557-7_13

Immunomodulation by poxviruses

2007· book-chapter· en· W1562632119 on OpenAlexaff
Steven H. Nazarian, Grant McFadden

Bibliographic record

VenueBirkhäuser Basel eBooks · 2007
Typebook-chapter
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsWestern University
Fundersnot available
KeywordsBiologyVirulenceGeneChemokineImmune systemInnate immune systemHost (biology)VirologyGenetics

Abstract

fetched live from OpenAlex

Large DNA viruses, such as poxviruses, encode an array of gene products, both secreted and intracellular, that systematically debilitate the various host responses to virus infection. The primary targets of the secreted gene products are members of the inflammatory innate immune system, such as the interferons, tumor necrosis factors, diverse interleukins, complement and the chemokine pathways. Poxvirus-infected cells also maintain a low profile to escape the cell-mediated arm of the adaptive immune response. Virulence factors that mediate this ‘virostealth’ are generally expressed intracellularly and interfere with host signaling processes or antigen presentation. Poxviruses also interfere with the cellular apoptotic response by regulating several key checkpoints within the cell. While many poxvirus virulence factors exhibit some sequence relationship with host proteins, suggesting that these genes may have been acquired from an ancestral host, others show no obvious similarity to any known host genes. Due to the intimate nature of the coevolution with their hosts, poxviral immunomodulators have proved useful in examining diverse aspects of immunology, virology and cell biology.

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.010

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 head0.039
GPT teacher head0.274
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2007
Admission routes1
Has abstractyes

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