MétaCan
Menu
Back to cohort
Record W2146464409 · doi:10.1002/ejic.200900268

Designer Peptides: Attempt to Control Peptide Structure by Exploiting Ferrocene as a Scaffold

2009· article· en· W2146464409 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Journal of Inorganic Chemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicFerrocene Chemistry and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryFerroceneIntramolecular forceScaffoldSupramolecular chemistryPeptideHydrogen bondConjugateIntermolecular forceCombinatorial chemistryMoleculeStereochemistryNanotechnologyElectrochemistryBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The design of peptides that display a β‐sheet‐like secondary structure remains a challenge. Molecular scaffolds, such as ferrocene (Fc) can help to overcome some of these challenges. Monosubstituted Fc derivatives offer no control over the self‐assembly of the conjugates, and the formation of supramolecular structures is entirely serendipitous. 1, n′ ‐disubstituted Fc derivatives provide a significant level of control over the direction of the peptide, their relative orientation, and the intramolecular hydrogen‐bonding patterns, which increases the rigidity of the molecule and in many cases, generates a new H‐bonding interface for intermolecular assembly. In this Microreview, we explore the use of ferrocene as a scaffold in the design of structurally well‐defined peptide conjugates. (© Wiley‐VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2009)

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)0.000
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 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 score0.030
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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