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Record W2148849324 · doi:10.1177/1087057110387425

Fusogenics: A Recombinant Immunotoxin-Based Screening Platform to Select Internalizing Tumor-Specific Antibody Fragments

2010· article· en· W2148849324 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.

Bibliographic record

VenueSLAS DISCOVERY · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsViventia Bio (Canada)
Fundersnot available
KeywordsImmunotoxinRecombinant DNAAntibodyCancer researchMedicineChemistryMonoclonal antibodyImmunologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Antibody-based therapeutics play a vital role in the treatment of certain cancers; however, despite commercial success, various strategies are being pursued to increase their potency and hence improve patient outcomes. The use of antibodies to deliver a cytotoxic payload offers a promising alternative for more efficacious therapies. Immunotoxins are composed of an internalizing antibody fragment linked to a bacterial or plant toxin. Once internalized, the payload, such as Pseudomonas exotoxin A (PE), blocks protein synthesis and induces apoptosis. Typically, immunotoxins are developed by first isolating a tumor-specific antibody, which is then either chemically linked to a toxin or reengineered as a fusion protein. Here, the authors describe the development of Fusogenics, an immunotoxin-based screening method that selects internalizing tumor-specific antibodies using a functional assay. Selected immune library clones were characterized and shown to be selective against normal tissues and specific to tumor tissues. In summary, the Fusogenics immunotoxin platform represents a unique, single-step selection approach combining specificity and functionality to isolate novel internalizing tumor-specific antibody fragments with potential for direct clinical application in the treatment of cancer. Antibody-based therapeutics play a vital role in the treatment of certain cancers; however, despite commercial success, various strategies are being pursued to increase their potency and hence improve patient outcomes. The use of antibodies to deliver a cytotoxic payload offers a promising alternative for more efficacious therapies. Immunotoxins are composed of an internalizing antibody fragment linked to a bacterial or plant toxin. Once internalized, the payload, such as Pseudomonas exotoxin A (PE), blocks protein synthesis and induces apoptosis. Typically, immunotoxins are developed by first isolating a tumor-specific antibody, which is then either chemically linked to a toxin or reengineered as a fusion protein. Here, the authors describe the development of Fusogenics, an immunotoxin-based screening method that selects internalizing tumor-specific antibodies using a functional assay. Selected immune library clones were characterized and shown to be selective against normal tissues and specific to tumor tissues. In summary, the Fusogenics immunotoxin platform represents a unique, single-step selection approach combining specificity and functionality to isolate novel internalizing tumor-specific antibody fragments with potential for direct clinical application in the treatment of cancer.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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