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Record W2112957690 · doi:10.1086/520594

The Mechanism of Axl‐Mediated Ebola Virus Infection

2007· article· en· W2112957690 on OpenAlexfundno aff
Masayuki Shimojima, Yasuhiro Ikeda, Yoshihiro Kawaoka

Bibliographic record

VenueThe Journal of Infectious Diseases · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthNational Institute for Health and Care ResearchPublic Health Agency of Canada
KeywordsEbola virusVirologyMutantBiologyIntracellularReceptor tyrosine kinaseAXL receptor tyrosine kinaseVirusSignal transductionGlycoproteinExtracellularTyrosine kinaseCell biologyGeneticsGeneJAK-STAT signaling pathway

Abstract

fetched live from OpenAlex

We previously reported that expression of the receptor-type tyrosine kinase Axl, which regulates cell survival and activation, enhances both pseudotype and live Ebola virus (EBOV) infection. To clarify the mechanistic basis of this enhancement, we created a series of Axl mutants and identified amino acids/domains necessary for this function, by using a pseudotype virus carrying the EBOV glycoprotein (GP). Analyses of the Axl mutants showed the importance of extracellular and intracellular regions for Axl functions, including ligand binding and signal transduction, in EBOV GP-mediated infection. These data suggest that EBOV uses the physiological functions of Axl to enter cells.

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 score0.001
Threshold uncertainty score0.007

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.007
GPT teacher head0.236
Teacher spread0.230 · 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

Citations116
Published2007
Admission routes1
Has abstractyes

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