MétaCan
Menu
Back to cohort
Record W1977069728 · doi:10.1016/j.febslet.2014.10.029

Secondary conformational conversion is involved in glycosaminoglycans‐mediated cellular uptake of the cationic cell‐penetrating peptide PACAP

2014· article· en· W1977069728 on OpenAlexafffund
Armelle Tchoumi Nerée, Phuong Nguyen, David Chatenet, Alain Fournier, Steve Bourgault

Bibliographic record

VenueFEBS Letters · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsInstitut National de la Recherche ScientifiquePROTEOUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsInternalizationGlycosaminoglycanChemistryPeptideCell biologyCationic polymerizationCell-penetrating peptideCellBiochemistryBiophysicsBiology

Abstract

fetched live from OpenAlex

Glycosaminoglycans (GAGs) contribute to the cellular uptake of cationic cell-penetrating peptides (CPPs). However, molecular details about the contributions of GAGs in CPP internalization remain unclear. In this study, we examined the cellular uptake mechanism of the arginine-rich CPP pituitary adenylate-cyclase-activating polypeptide (PACAP). We observed that the uptake efficacy of PACAP is dependent on the expression of cell surface GAGs. As the binding of PACAP to sulfated GAGs induced a random coil-to-α-helix conformational conversion, we investigated the role of the helical formation in PACAP internalization. Whereas this secondary structure was not crucial for efficient internalization in GAGs-deficient cells, PACAP α-helix was essential for GAGs-dependent uptake.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.389

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 integrity0.0000.000
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 head0.007
GPT teacher head0.192
Teacher spread0.185 · 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 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

Citations35
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueFEBS LettersSame topicRNA Interference and Gene DeliveryFrench-language works237,207