Growing Impact of Bioorthogonal Click Chemistry in Cell Surface Glycan Labeling
Bibliographic record
Abstract
Bioorthogonal chemistry represents a collection of chemical techniques employing unique functional groups to probe and comprehend biological processes within living organisms. This tool has unparalleled selectivity, exceptional biocompatibility, and moreover, the versatility which all together make it a very powerful protocol for the studying of biological processes and developing new therapeutics. This review offers a comprehensive overview of the sophisticated reactions employed in bioorthogonal chemistry, as well as potential methodologies for conducting these reactions. Additionally, it delves into bioorthogonal-based chemical strategies for incorporating 'bioorthogonal handles' into biomolecules. The review extensively covers the recent advancements in bioorthogonal click chemistry, from its inception to its notable applications in live cell imaging, biomolecule characterization, and glycome imaging. Furthermore, it discusses the future potential of click chemistry for synergistic integration of chemistry and biology, highlighting its versatility and promise in advancing various emerging fields in drug discovery and development.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".