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Record W4413257918 · doi:10.1002/psc.70052

Silica‐Assisted Solid‐Phase Peptide Synthesis (SiPPS)

2025· article· en· W4413257918 on OpenAlex
Ashish Kumar, Amit Chakraborty, Steeves Potvin, Georges Thibaut‐Koumba, Brunello Nardone, François Béland, Anamika Sharma, Beatriz G. de la Torre, Fernando Alberício

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.

Bibliographic record

VenueJournal of Peptide Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsSiliCycle (Canada)
Fundersnot available
KeywordsPeptide synthesisSolid-phase synthesisChemistryPeptidePhase (matter)Combinatorial chemistryBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT Non‐swelling silica‐based resin was used for peptide synthesis. The strategy used is similar to that of solid‐phase peptide synthesis (SPPS), referred to as silica‐assisted solid‐phase peptide synthesis (SiPPS). A 2‐h coupling seemed to favor the coupling compared to that of 1‐h standard coupling. The use of this non‐swelling resin allows a 50% reduction in the consumption of solvents. The strategy was well demonstrated for the synthesis of H‐YSSFL‐NH 2 , linear oxytocin, angiotensin II, and afamelanotide using a silica‐based support (Fmoc‐Rink amide SiliaBond manufactured from SiliCycle Inc.). The peptides were found to have more than acceptable purity, although there was a loss in overall yields.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.018
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.325
Teacher spread0.315 · 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