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Record W2390066644

Preparation of the monoclonal antibody against VP6 in group A porcine rotavirus and its antigenic epitope identification

2014· article· en· W2390066644 on OpenAlexaff
Han Xia

Bibliographic record

VenueZhongguo yufang shouyi xuebao · 2014
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsScience North
Fundersnot available
KeywordsEpitopeMonoclonal antibodyBiologyMolecular biologyAntigenVirologyRecombinant DNAWestern blotRotavirusEpitope mappingAntibodyVirusBiochemistryImmunology
DOInot available

Abstract

fetched live from OpenAlex

To prepare the monoclonal antibody(MAb) against VP6 protein of group A porcine rotavirus(RV) and identify the antigenic epitope, a hybridoma stable secreting MAb against VP6 protein was prepared by fusing SP2/0 cells with spleen cells from BALB/c mice immunized with recombinant VP6 protein. Identification of the MAb indicated that it belonged to Ig G1 subtype withκ chain. The titers in cell culture medium of the hybridoma and ascites were 1 ∶12 800 and 1 ∶106, respectively. In addition, the MAb was positively reacted with authentic VP6 protein of porcine RV detected by western blot and indirect immunofluoresence assay. Moreover, the antigenic epitope sequence of134DYIENWNLQNR144 was identified by the pepscan technique. Those results provided a basis for the further study on the function of VP6 and development of diagnostic method.

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)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.353
Teacher spread0.334 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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