Ion Sensing and Inhibition Studies Using the Transmembrane Ion Channel Peptide Gramicidin A Entrapped in Sol−Gel-Derived Silica
Bibliographic record
Abstract
The development of new, targeted drugs relies heavily on innovative technologies that allow for high-throughput screening of drug libraries against biologically relevant targets, particularly membrane-associated receptors. Therefore, immobilization of natural receptors is of the utmost importance to allow for screening of small molecule libraries. Herein, we describe the immobilization of liposomes containing the transmembrane peptide ion-channel gramicidin A into sol-gel-derived silicate materials. Steady-state fluorescence measurements of the intrinsic tryptophan residues of reconstituted gramicidin A in phospholipid vesicles consisting of 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) were obtained in solution and following entrapment in diglyceryl silane (DGS)-derived silicate to examine the effects of entrapment on the conformation of the ion channel. Only minor deviations were observed in the fluorescence properties of gramicidin following entrapment in DGS-derived silicate. DOPC vesicles containing a 50 microM internal solution of the potential sensitive fluorescent dye safranine O were used to study ion flux through the membrane ion channel. The dependence of ion flux on both ion concentration and amount of gramicidin embedded in the membrane were examined before and after entrapment in sol-gel-derived silicate. It was found that ion channel activity upon entrapment in DGS-derived silicate mirrored very closely that observed in solution. Moreover, the ability to inhibit ion flux through gramicidin A due to blockage by calcium ions was retained after the immobilization procedure. The implications for development of drug-screening and -sensing platforms are discussed.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".