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Record W1495971429 · doi:10.1002/pat.3619

Engineering recombinant antibodies for polymer biofunctionalization

2015· article· en· W1495971429 on OpenAlexaff
María J. Hortigüela, Lucie Aumailley, Akshay Srivastava, Claire Cunningham, Anandakumar Soshee, Sylvain Robin, Abhay Pandit, Xuejun Hu, J. Gerard Wall

Bibliographic record

VenuePolymers for Advanced Technologies · 2015
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversité Laval
FundersIrish Research CouncilScience Foundation IrelandEnterprise IrelandFP7 People: Marie-Curie ActionsEuropean Commission
KeywordsGlycanLinkerCombinatorial chemistryProtein engineeringSurface modificationRecombinant DNAEscherichia coliChemistryAntibodyCysteineBioconjugationAmine gas treatingCovalent bondPolymerMaleimideBiochemistryBiophysicsPolymer chemistryBiologyEnzymeGlycoproteinOrganic chemistryGeneComputer science

Abstract

fetched live from OpenAlex

The attachment of recognition elements such as antibody fragments to polymeric substrates can be used to mediate cell‐ or protein‐specific interactions. In this work, single‐chain Fv (scFv) antibody fragments were isolated against two cell types of interest and expressed in an Escherichia coli expression platform. The scFvs were engineered at their C‐terminus to incorporate a cysteine‐containing linker, for reaction with maleimide‐linked polymers, or a heptasaccharide glycan for complexation with surface amine moieties. Antigen binding of the modified scFvs was unchanged, and expression yields of the glyco‐engineered scFvs were similar to the unmodified molecules, while cys‐tagged scFv yields varied between scFv variants. Targeted immobilization of the scFvs via either modification resulted in three‐ to five‐fold higher binding of ligands over adsorbed molecules. The study demonstrates a simple and efficient antibody engineering and modification approach for effective targeted immobilization on polymeric substrates. Copyright © 2015 John Wiley & Sons, Ltd.

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)0.000
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.324
Teacher spread0.278 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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