Comparative study of the effects of the structurally similar flavonoids quercetin and taxifolin on the therapeutic behavior of alprazolam
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
After a meal rich in plant products, dietary flavonoids can be detected in plasma as serum albumin bound conjugates. Flavonoid–albumin binding is expected to control the bioavailability of drugs. In this study, the binding of alprazolam (ALP) and human serum albumin (HSA) has been investigated in the absence and presence of two flavonoids with similar structures, quercetin (QUER) and taxifolin (TAX), by means of fluorescence spectroscopy, chemometrics, and molecular dynamics simulation. Our results show that ALP has the ability to quench the intrinsic fluorescence of HSA. This quenching is affected by flavonoids. The presence of QUER and TAX decreased the quenching constants, binding constants, and equilibrium constants associated with ALP binding to HSA. The effect of ALP and both flavonoids on the conformation of HSA was analyzed using synchronous fluorescence spectroscopy. Our results indicate a conformational change of HSA with the addition of ligands. The molecular dynamics study makes an important contribution to understanding the effect of the binding of ALP, QUER, and TAX on conformational changes of HSA and modification of its tertiary structure in the absence and presence of flavonoids. All of these results may have relevant consequences in rationalizing the interferences of common food and drugs.
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.
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 it