Multiplexed azido‐group isotopic capture (MAGIC) beads: Selective analysis of azido compounds using a propargyl‐based cleavable linker, a proof of concept
Bibliographic record
Abstract
RATIONALE: A cleavable linker is designed and synthesized for the selective capture of azide-containing compounds. This article presents a proof of concept methodology involving the use of peptide-functionalized aminopropyl silica, on which the peptide is constructed by solid-phase peptide synthesis. METHODS: The peptide linker has L-propargylglycine (Pra) at one terminal end to allow the conjugation of azide-containing molecules by copper assisted azide alkyne cycloaddition, also known as click reaction. L-Arginine (Arg) is placed just before Pra to permit the release of the captured product by tryptic cleavage. Three glycine (Gly) residues, as part of the linker, are appended to the silica bead to present a spacer section that allows efficient tryptic cleavage devoid of steric hindrance imposed by the bulky bead. The bead composition is Si-O-propyl-NH-Gly-Gly-Gly-Arg-Pra. RESULTS: ManNAz). Copper-mediated click reaction conditions are used and released products are characterized by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and tandem MS (MS/MS). CONCLUSIONS: This method allows easy identification of captured compounds based on mass and fragmentation analysis. Moreover, it is useful for the analysis of small azide-containing compounds by MALDI-TOF-MS which may not be possible otherwise due to matrix interferences. The insertion of isotopically labeled Arg residues provides the possibility of multiplex analysis, from which the beads have been called MAGIC (for Multiplexed Azido-Group Isotopic Capture). Copyright © 2016 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".