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Record W2135595405 · doi:10.1086/589776

Neutralization of Multiple Staphylococcal Superantigens by a Single‐Chain Protein Consisting of Affinity‐Matured, Variable Domain Repeats

2008· article· en· W2135595405 on OpenAlexaff
Xi Yang, Rebecca A. Buonpane, Ashrafur Rahman, Ningyan Wang, Patrick M. Schlievert, John K. McCormick, Eric J. Sundberg, David M. Kranz

Bibliographic record

VenueThe Journal of Infectious Diseases · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsLawson Health Research Institute
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical Sciences
KeywordsSuperantigenToxic shock syndromeEnterotoxinToxinMicrobiologyNeutralizationBiologyT-cell receptorStaphylococcus aureusChemistryAntibodyImmunologyT cellBiochemistryEscherichia coliBacteriaImmune systemGenetics

Abstract

fetched live from OpenAlex

Staphylococcus aureus secretes various toxins that act as superantigens by stimulating a large fraction of the host's T cells. Toxin binding to variable domains of T cell receptor beta chains (Vbeta) leads to massive release of inflammatory molecules and potentially to toxic shock syndrome (TSS). Previously, we generated soluble forms of different Vbeta domains with a high affinity for binding superantigens. However, a broader spectrum antagonist is required for the neutralization of multiple toxins. In the present study, we expressed Vbeta domains in tandem as a single-chain protein and neutralized the clinically important superantigens staphylococcal enterotoxin B and TSS toxin-1 with a single agent.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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.

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

Citations22
Published2008
Admission routes1
Has abstractyes

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