Host–Guest Chemistry of the Cucurbituril Family
Bibliographic record
Abstract
Chapter 3 describes the supramolecular host–guest chemistry of unmodified cucurbit[n]urils (single-cavity CB[n], n=5–8, 10, and twisted tCB[n], n=13–15). The ranges of host–guest complexes formed with the single-cavity and twisted CB[n] hosts are surveyed, and their applications, notably in the field of drug and biomolecule recognition, are described. With inner cavity volumes ranging from 68 to 691 Å3, the single-cavity CB[n] hosts exhibit unique selectivity for differently sized guest molecules and ions: the CB[5] can bind small gas molecules, CB[6] binds aliphatic chains, CB[7] can include aromatic and polycyclic guests, CB[8] allows for the binding of two complementary guests, while CB[10] can bind other small host molecules, as well as transition metal complexes. The host–guest complexation is driven primarily by the hydrophobic effect in terms of the release of high-energy waters from the cavity upon guest inclusion, along with favorable ion–dipole interactions between the polar portals and charged centers on cationic guests. The ultra-high stability constants (up to 1017 M−1) observed with certain dicationic guests and CB[7] result from optimal packing of the hydrophobic cavity with the guest core and the placement of an ammonium group adjacent to each portal.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".