Rapid, Hydrolytically Stable Modification of Aldehyde-Terminated Proteins and Phage Libraries
Bibliographic record
Abstract
We describe the rapid reaction of 2-amino benzamidoxime (ABAO) derivatives with aldehydes in water. The ABAO combines an aniline moiety for iminium-based activation of the aldehyde and a nucleophilic group (Nu:) ortho to the amine for intramolecular ring closure. The reaction between ABAO and aldehydes is kinetically similar to oxime formations performed under stoichiometric aniline catalysis. We characterized the reaction by both NMR and UV spectroscopy and determined that the rate-determining step of the process is formation of a Schiff base, which is followed by rapid intramolecular ring closure. The relationship between apparent rate constant and pH suggests that a protonated benzamidoxime acts as an internal general acid in Schiff-base formation. The reaction is accelerated by substituents in the aromatic ring that increase the basicity of the aromatic amine. The rate of up to 40 M(-1) s(-1) between an electron-rich aldehyde and 5-methoxy-ABAO (PMA), which was observed at pH 4.5, places this reaction among the fastest known bio-orthogonal reactions. Reaction between M13 phage-displayed library of peptides terminated with an aldehyde moiety and 1 mM biotin-ABAO derivative reaches completion in 1 h at pH 4.5. Finally, the product of reaction, dihydroquinazoline derivative, shows fluorescence at 490 nm suggesting a possibility of developing fluorogenic aldehyde-reactive probes based on ABAO framework.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".