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Record W1499863817 · doi:10.5772/30294

A Multi-Targeted Antisense Oligonucleotide-Based Therapy Directed at Phosphodiesterases 4 and 7 for COPD

2012· book-chapter· en· W1499863817 on OpenAlexaff
Rosanne Séguin

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsPharmaxis (Canada)
Fundersnot available
KeywordsOligonucleotidePhosphodiesteraseAntisense therapyCOPDComputational biologyMedicinePharmacologyBiologyInternal medicineBiochemistryLocked nucleic acidGeneEnzyme

Abstract

fetched live from OpenAlex

Recent drug development for chronic obstructive pulmonary disease (COPD) has focused on strategies aimed at reducing the underlying inflammation by selective inhibition of phosphodiesterases (PDE), specifically the PDE4 isoforms. The anti-inflammatory and bronchodilator activities of PDE4 inhibitors have been well documented (Giembycz &Field 2010), however their clinical development has been hampered by their low therapeutic ratio and dose-dependent systemic side effects. PXS TPI1100 is an inhaled drug candidate consisting of two modified antisense oligonucleotides (AON) directed at PDE isoforms 4B, 4D and 7A. PXS TPI1100 has been designed to reduce the recruitment and persistence of inflammatory cells in COPD through an unique mechanism of action and has the potential to be a novel, highly effective approach for this respiratory disease.

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 categoriesMeta-epidemiology (narrow)
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 score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.028
GPT teacher head0.259
Teacher spread0.231 · 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.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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