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Record W2042468368 · doi:10.1089/153685903322538791

Recombinant Anti-Botulinum Neurotoxin A Single-Chain Variable Fragment Antibody Generated Using a Phage Display System

2003· article· en· W2042468368 on OpenAlexafffund
David Mah, Weigang Hu, J. Kelly Pon, Saad A. Masri, R. Elaine Fulton, P. L. Monette, Les P. Nagata

Bibliographic record

VenueHybridoma and Hybridomics · 2003
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsCanadian Food Inspection AgencyArbutus Biopharma (Canada)Defence Research and Development Canada
FundersCanadian Institutes of Health ResearchDefence Research and Development Canada
KeywordsPhage displayPhagemidMolecular biologyRecombinant DNAImmunoglobulin light chainPichia pastorisSingle-chain variable fragmentBiologyComplementary DNAAntibodyLinkerExpression vectorMonoclonal antibodycDNA libraryBiopanningGenePeptide libraryBacteriophagePeptide sequenceEscherichia coliBiochemistryGenetics

Abstract

fetched live from OpenAlex

A recombinant single-chain fragment variable antibody (scFv) to botulinum A neurotoxin (BoNT/A) was developed. BALB/C mice were immunized with BoNT/A. Splenomic RNA was isolated from the hyperimmune mice and used to prepare a cDNA library, from which the variable regions of the heavy and light chain antibody genes were generated and connected by a DNA linker. The resulting scFv genes were cloned into the phagemid vector pCANTAB5 in order to construct phage display scFv libraries. Individual anti-BoNT/A phage clones were isolated from the phage display libraries by immunoaffinity selection using immobilized BoNT/A and further evaluated by enzyme-linked immunosorbant assay, immunoprecipitation and Western blotting. Forty-eight clones were found to be BoNT/A-reactive. The most reactive clone, designated D12, was selected for further study. The scFv gene of D12 was subcloned into a Pichia pastoris vector, and expression in yeast was evaluated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.030
GPT teacher head0.286
Teacher spread0.255 · 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 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

Citations17
Published2003
Admission routes2
Has abstractyes

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