Unveiling the Light Induced Energy Transfer Events in Water Soluble Benzothiazole Appended Borondipyrromethene: Synthesis, Photophysical Study, and Applications to Amyloid Binding
Bibliographic record
Abstract
Abstract Photo‐induced energy transfer (PEnT) is a non‐invasive photophysical phenomenon by which an excited state energy donor decays to the ground state by transferring the energy to the acceptor, without generating any radical ion–pairs, which is quite desirable for designing molecular probes for biological applications. For the first time, a water soluble benzothiazole (BTZ)‐borondipyrromethene (BODIPY) dyad, BTZ‐BODIPY‐DA , displaying PEnT was synthesized, and used for detecting Aβ 40 fibrils. Steady‐state and time‐resolved fluorescence studies in polar organic solvents and also in PBS, involving the photoexcitation of the BTZ moiety of the dyad, revealed the occurrence of PEnT from 1 BTZ * to BODIPY. Upon binding with amyloid Aβ 40 fibrils, a two‐fold enhancement in the fluorescence intensity and enhanced 1 BODIPY* lifetime was observed. Binding of the dyad with Aβ 40 peptide and fibrils was explained using molecular dynamics simulations, which further supported that structural rigidification of the bound dyad is responsible for enhanced PEnT. Furthermore, the impact of amyloid binding on the kinetics of PEnT in the dyad was investigated using femtosecond transient absorption studies, and energy transfer rate, k EnT , of ∼10 12 s −1 in the amyloid‐bound dyad was measured, highlighting the potential use of the dyad as a non‐intrusive PEnT operating fluorescent probe for detecting amyloid fibrils.
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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 | 0.001 | 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 | 0.001 | 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".