Development and Characterization of Fluorescent Mannose and Sialic Acid Based Chemical Probes for Lectin Discovery and Enzyme Studies
Bibliographic record
Abstract
BODIPY (4,4–Difluoro-4-boro-3a,4a-diaza-s-indacene) dyes are relatively nonpolar fluorescent molecules used as biological labeling reagents. The advantages of using BODIPY dyes as tags include their unique photochemical properties, allowing for an easy and sensitive monitoring of target components. This thesis will discuss the synthesis of novel fluorescent “BODIPY”-labeled carbohydrate-based chemical probes and highlight their uses in different biological applications. In chapter one, we have focused on the development of BODIPY-mannose-based chemical probes for the discovery and characterization of mannose-binding lectins on surfaces of Actinobacteria. The synthesis of these probes and their efficiency to detect mannose-binding lectins using different techniques such as Fluorescence microscopy and flow cytometry are discussed. In chapter two, we have focused on the chemo-enzymatic synthesis of BODIPY-sialic acid based chemical probes for enzymatic detection of specific glycoconjugates on proteins. The use of these probes as donor substrates to probe the enzymes involved in glycan sialylation are discussed
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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) | 0.000 | 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 | 0.001 | 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".