Recent Developments in Enzymatic Synthesis of Modified Sialic Acid Derivatives
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Sialic acid‐containing glycans play important roles in biology, but their synthesis by standard chemical approaches is challenging. Enzymatic assembly is generally a better approach. In the last two decades, a number of bacterial sialyltransferases (STs) and trans ‐sialidases have been identified and a number of them found to exhibit broad substrate specificity. In this review, we will focus on the donor and acceptor substrate specificities of these enzymes along with the enzymatic routes employed to prepare sialosides bearing modifications at specific positions on the sialic acid carbon skeleton. Understanding the substrate tolerance of these enzymes will help researchers to choose the best biocatalyst for the assembly of specific sialosides, which can be valuable tools in the study of or inhibition of sialidases and STs and sialic acid‐binding proteins. In addition, the ability to study these processes using synthetic sialylated glycans will lead to a greater understanding of their biology and will lead to new therapeutic targets. magnified image
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it