Sialoside clusters as potential ligands for siglecs (sialoadhesins)
Bibliographic record
Abstract
Clusters of O- and S-linked α-sialosides with valencies of two to four were constructed to serve as potential multivalent inhibitors towards sialoadhesins (siglecs). Thus, O- and S-prop-2-ynyl α-sialosides (3, 7), together with 4-iodophenyl sialoside 5 were prepared from acetochloroneuraminic acid derivative 1 using silver salicylate and propargyl alcohol for 3 and phase-transfer catalysis for 5 and 7, respectively. Oxidative acetylenic homocoupling of 3 and 7 under Glaser conditions (CuCl, O2) provided 1,3-diynes 8 and 9 in 83-86% yields. Palladium catalyzed cross-coupling of O-prop-2-ynyl sialoside 3 with 5 using Pd2(dba)3 and PPh3 gave nonsymmetrical dimer 10 (82%). Alternatively, symmetrical clusters were then prepared as above under Sonogashira cross-coupling conditions with 1,4-diiodobenzene (11), 1,3,5-triodobenzene (14), and finally 1,2,4,6-tetraiodobenzene (17) to provide both O- and S-linked dimers 12 (93%) and 13 (88%), trimers 15 (81%) and 16 (76%), while only O-linked tetramer 18 was prepared in 87% yield. Finally, treatment of the O-linked prop-2-ynyl sialoside 3 with Grubbs' metathesis catalyst Cl2Ru(PCy3)2=CHPh (19) gave, as expected, benzeneannulation regioisomeric trimers 20a, 20b in 68% yield.Key words: siglec, sialoadhesins, sialic acid, Sonogashira, palladium cross-coupling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".