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Record W2972594574 · doi:10.1038/s41467-019-12137-1

A potent broadly neutralizing human RSV antibody targets conserved site IV of the fusion glycoprotein

2019· article· en· W2972594574 on OpenAlexfundno aff
Aimin Tang, Zhifeng Chen, Kara S. Cox, Hua-Poo Su, Cheryl Callahan, Arthur Fridman, Lan Zhang, Sangita B. Patel, Pedro J. Cejas, Ryan Swoyer, Sinoeun Touch, Michael Citron, Dhanasekaran Govindarajan, Bin Luo, Michael J. Eddins, John C. Reid, S.M. Soisson, Jennifer Galli, Dai Wang, Zhiyun Wen, Gwendolyn J. Heidecker, Danilo R. Casimiro, Daniel J. DiStefano, Kalpit A. Vora

Bibliographic record

VenueNature Communications · 2019
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
FundersNational Research Council CanadaNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchIndustrial Macromolecular Crystallography Association Collaborative Access TeamUniversity of SaskatchewanCanadian Light SourceUniversité LavalWestern Economic Diversification CanadaMerck
KeywordsVirologyGlycoproteinAntibodyEpitopeMonoclonal antibodyVirusBiologyMedicineImmunologyMolecular biology

Abstract

fetched live from OpenAlex

Respiratory syncytial virus (RSV) infection is the leading cause of hospitalization and infant mortality under six months of age worldwide; therefore, the prevention of RSV infection in all infants represents a significant unmet medical need. Here we report the isolation of a potent and broadly neutralizing RSV monoclonal antibody derived from a human memory B-cell. This antibody, RB1, is equipotent on RSV A and B subtypes, potently neutralizes a diverse panel of clinical isolates in vitro and demonstrates in vivo protection. It binds to a highly conserved epitope in antigenic site IV of the RSV fusion glycoprotein. RB1 is the parental antibody to MK-1654 which is currently in clinical development for the prevention of RSV infection in infants.

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 score0.767
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.040
GPT teacher head0.391
Teacher spread0.351 · 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

Citations152
Published2019
Admission routes1
Has abstractyes

Explore more

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