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Record W2164142039 · doi:10.1089/mab.2013.0023

Monoclonal Antibodies Against Nsp2 Protein of the Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus

2013· article· en· W2164142039 on OpenAlexaff
Bin Li, Luping Du, Bing Sun, Zhengyu Yu, Libin Wen, Xuehan Zhang, Rongli Guo, Yanxiu Ni, Yiyi Hu, Junming Zhou, Haodan Zhu, Lixin Lv, Yang Yu, Xiaomin Wang, Kongwang He

Bibliographic record

VenueMonoclonal Antibodies in Immunodiagnosis and Immunotherapy · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsMinistry of Agriculture
FundersNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of ChinaJiangsu Agricultural Science and Technology Innovation Fund
KeywordsPorcine reproductive and respiratory syndrome virusMonoclonal antibodyWestern blotVirologyBiologyAntibodySpleenImmunofluorescenceVirusArterivirusMolecular biologyBlotImmunologyMedicineCoronavirus disease 2019 (COVID-19)GenePathologyBiochemistry

Abstract

fetched live from OpenAlex

Porcine reproductive and respiratory syndrome (PRRS) continues to be a serious threat, causing an economically significant impact on the swine industry worldwide. In this study, non-structural protein Nsp2 of porcine reproductive and respiratory syndrome virus (PRRSV) was expressed in Escherichia coli and purified by dialysis. An important monoclonal antibody (MAb 2H6) against Nsp2 protein was generated by fusing mouse myeloma cell line SP2/0 with spleen lymphocytes from Nsp2 protein immunized mice. Then activity of the MAb was characterized by enzyme-linked immunosorbent assay (ELISA), Western blot analysis, and indirect immunofluorescence assays. The results demonstrated that the MAb has a positive reaction to HP-PRRSV in IFA at 1:100 dilution and in Western blot analysis at 1:500 dilution, and no reaction with classic PRRSV. These indicated that this MAb against Nsp2 protein of PRRSV might be a good candidate for a specific diagnostic method and functional exploration of the Nsp2 protein.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.219
Teacher spread0.203 · 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 designObservational
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

Citations5
Published2013
Admission routes1
Has abstractyes

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