Entrapment of Highly Active Membrane-Bound Receptors in Macroporous Sol−Gel Derived Silica
Bibliographic record
Abstract
The immobilization of membrane-associated proteins remains a challenging task. Herein, we report on the entrapment of two classes of membrane-bound receptors into sol-gel derived silica. Both nicotinic acetylcholine receptor (nAChR), a ligand-gated ion channel, and dopamine D(2Short) receptor (D2R), a G-protein coupled receptor, were entrapped into a series of sol-gel derived nanocomposite materials. In cases where the silica had a bimodal pore size distribution wherein both mesopores and macropores were present, the two receptors showed 40-80% of solution activity over periods of at least 1 month. Furthermore, the dissociation constants of entrapped nAChR and D2R for binding to known agonists and antagonists were very close to the values obtained for free receptors in solution. These results indicate that membrane-bound receptors entrapped into bimodal meso/macroporous silica should provide a useful platform for the development of bioanalytical devices such as bioaffinity columns or microarrays, which could aid in diagnosis and high-throughput drug screening.
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) | 0.000 | 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 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".