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Record W2146452044 · doi:10.1093/protein/gzu011

Protease-resistant single-domain antibodies inhibit Campylobacter jejuni motility

2014· article· en· W2146452044 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProtein Engineering Design and Selection · 2014
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsCarleton UniversityUniversity of OttawaUniversity of GuelphNational Research Council Canada
FundersNational Research Council Canada
KeywordsCampylobacter jejuniProteasesMutantFlagellumProtein engineeringMotilityProteaseChemistrySerine proteaseBiologyMicrobiologyMolecular biologyBiochemistryEnzymeCell biologyGeneticsBacteriaGene

Abstract

fetched live from OpenAlex

Camelid heavy-chain antibody variable domains (VHHs) are emerging as potential antimicrobial reagents. We have engineered a previously isolated VHH (FlagV1M), which binds Campylobacter jejuni flagella, for greater thermal and proteolytic stability. Mutants of FlagV1M were obtained from an error-prone polymerase chain reaction library that was panned in the presence of gastrointestinal (GI) proteases. Additional FlagV1M mutants were obtained through disulfide-bond engineering. Each approach produced VHHs with enhanced thermal stability and protease resistance. When the beneficial mutations from both approaches were combined, a hyperstabilized VHH was created with superior stability. The hyperstabilized VHH bound C. jejuni flagella with wild-type affinity and was capable of potently inhibiting C. jejuni motility in assays performed after sequential digestion with three major GI proteases, demonstrating the remarkable stability imparted to the VHH by combining our engineering approaches.

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.

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)0.001
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 score0.592
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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