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Record W2886299502 · doi:10.1039/c8nr04018d

Effect of nanosilver surfaces on peptide reactivity towards reactive oxygen species

2018· article· en· W2886299502 on OpenAlexafffund
Erik Jacques, Manuel Ahumada, Brianna K. Rector, Goonay Yousefalizadeh, Constanza Galaz-Araya, Rodrigo Recabarren, Kevin G. Stamplecoskie, Horacio Poblete, Emilio I. Alarcón

Bibliographic record

VenueNanoscale · 2018
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsQueen's UniversityUniversity of Ottawa
FundersFondo Nacional de Desarrollo Científico y TecnológicoMinisterio de Economía, Fomento y Turismo, ChileCanadian Institutes of Health ResearchUniversidad de TalcaNatural Sciences and Engineering Research Council of CanadaQueen's UniversityCanada Foundation for Innovation
KeywordsReactive oxygen speciesReactivity (psychology)PeptideOxygenNanotechnologyChemistryMaterials scienceCombinatorial chemistryChemical engineeringBiophysicsBiochemistryBiologyOrganic chemistryMedicineEngineering

Abstract

fetched live from OpenAlex

The interaction of a terminal tryptophan residue within collagen mimetic peptides when tethered to nanometric silver surfaces was studied using a combination of steady state spectroscopy, ultrafast spectroscopy, and molecular dynamics experiments. Our findings indicate that the effective interaction between the tryptophan and the metal surface occurs in short-time scales (ps) and it is responsible for improving the colloidal stability of the nanoparticles exposed to free radicals. The extent and efficiency of the interaction depends on factors beyond the peptide length that include conformation and distance from the terminal tryptophan to the metal surface.

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 score0.037
Threshold uncertainty score0.902

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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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