Time-Resolved Fluorescence Anisotropy in Assessing Side-Chain and Segmental Motions in Polyamines Entrapped in Sol−Gel Derived Silica
Bibliographic record
Abstract
The side-chain and backbone dynamics of two model polyamines, polylysine (PL) and poly(allylamine) (PAM), were examined with time-resolved fluorescence anisotropy (TRFA) in aqueous solution and when the polyamines were entrapped into sol−gel derived silica. Both polyamines were ionically labeled with fluorescein, causing the rotational characteristics of the probe to be interconnected to the dynamics of the polyamine chain. TRFA studies of the probe−polyamine complex could be fit to two rotational components reflecting motions of the side chains (ps component) and short segments (ns component), respectively. The rate and amplitude of these motions were reproducibly higher for PL than PAM, indicative of a higher conformational flexibility in PL relative to PAM. This result was supported by molecular mechanics optimizations, which showed a much larger variance in the distance between adjacent amino groups in PL relative to PAM, consistent with more degrees of freedom in the more dynamic polyamine. When entrapped into sodium silicate (SS)-derived hydrogels, PL unexpectedly showed a high degree of segmental flexibility, while PAM experienced a significant damping of all detectable motions, accompanied by a large increase in the residual anisotropy. Since the random coil of PL can be considered as a model of flexible or denatured proteins with a high affinity toward the silica surface, we would expect the presence of segmental motions in such proteins when entrapped into a SS network, even if these are bound to the silica surface, in agreement with previous studies of such proteins entrapped in sol−gel glasses. On the other hand, PAM provides a useful model of more rigid proteins, such as antibodies, which show significant losses in dynamic motion upon entrapment in silica. The results show that the dynamics of proteins entrapped in silica materials must be viewed with caution, as it is possible to have significant dynamic motion even when proteins interact with the matrix.
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".