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Record W2033626292 · doi:10.2174/138955707781662627

Novel Phospholipase-Resistant Lipid/Peptide Synthetic Lung Surfactants

2007· review· en· W2033626292 on OpenAlexfundno aff
Robert H. Notter, Adrian L. Schwan, Zhengdong Wang, Alan J. Waring

Bibliographic record

VenueMini-Reviews in Medicinal Chemistry · 2007
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNatural Sciences and Engineering Research Council of CanadaNational Institutes of Health
KeywordsPulmonary surfactantContext (archaeology)ChemistryPeptidePhospholipaseBiochemistryBiologyEnzyme

Abstract

fetched live from OpenAlex

Animal-derived drugs are currently widely-used to treat clinical lung surfactant deficiency, but synthetic surfactants have significant advantages as pharmaceutical agents. This article examines exogenous surfactants containing novel synthetic phospholipase-resistant lipids of extremely high surface activity. Mixtures of these lipid analogs with purified native surfactant apoproteins are detailed as a proof of concept for related fully-synthetic surfactants containing laboratory- produced peptides. The chemistry and biophysics of relevant lipid analogs and peptides are reviewed in the context of developing new synthetic drugs of utility for patients with surfactant deficiency or lung injury-related surfactant dysfunction. Keywords: Synthetic lung surfactants, exogenous surfactants, phosphonolipids, lipid analogs, amphipathic peptides, surfactant peptides, acute lung injury

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
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)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.141
GPT teacher head0.451
Teacher spread0.311 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations30
Published2007
Admission routes1
Has abstractyes

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