MétaCan
Menu
Back to cohort
Record W2014464624 · doi:10.1645/ge-1634.1

Single-Chain Variable Fragment Antibodies Selected by Phage Display Against the Sporozoite Surface Antigen P23 of Cryptosporidium parvum

2009· article· en· W2014464624 on OpenAlexafffund
Jeanine I. Boulter‐Bitzer, Hung Lee, J. T. Trevors

Bibliographic record

VenueJournal of Parasitology · 2009
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Guelph
FundersMedical Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthMinistry of EnvironmentTrent UniversityUniversity of Guelph
KeywordsCryptosporidium parvumBiologyPhage displayPanning (audio)Recombinant DNAPhagemidMicrobiologyAntigenSingle-chain variable fragmentEscherichia coliVirologyGiardia lambliaMonoclonal antibodyAntibodyMolecular biologyBacteriophageGene

Abstract

fetched live from OpenAlex

Cryptosporidium parvum, an apicomplexan parasite transmitted via animal fecal wastes, is the causative agent of cryptosporidiosis. Clones were selected from 2 synthetic naïve human single-chain variable fragment (scFv) phagemid libraries that bound to the recombinant P23 protein of C. parvum. Panning the Tomlinson I and J phagemid libraries resulted in 6 distinct clones. Two clones had full-length scFv sequences, while the remaining clones were either truncated or missing a section of the heavy chain. Despite these differences, all clones were able to detect both native C. parvum proteins and recombinant P23. None of the selected clones cross-reacted with Escherichia coli, Streptococcus pyogenes, Listeria monocytogenes, Bacillus cereus, Giardia lamblia (cysts or trophozoites), or with S16, another dominant surface antigen on C. parvum sporozoites. Clones expressed as the scFv-gIIIp fusion construct in soluble form detected C. parvum. Panning from naïve libraries is a useful method for isolation and identification of recombinant antibodies that have the potential for use in pathogen detection and immunotherapy.

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 categoriesnone
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 score0.472
Threshold uncertainty score0.630

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 integrity0.0000.001
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 head0.015
GPT teacher head0.310
Teacher spread0.295 · 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

Citations14
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueJournal of ParasitologySame topicMonoclonal and Polyclonal Antibodies ResearchFrench-language works237,207