Kinetic Interactions between Cyclolinopeptides and Immobilized Human Serum Albumin by Surface Plasmon Resonance
Bibliographic record
Abstract
Cyclolinopeptides (CLs) are octa-, nona-, and decapeptides present in flaxseed ( Linum usitatissimum L.) that may have immunosuppressive and antitumor activities, but little is known of their pharmacokinetics. Human serum albumin (HSA), the most abundant blood protein, is an important mediator of organic solute flux, and hence when compounds bind this protein, it potentially affects both their availability and efficacy. Quantitative thermodynamic analysis of the interaction of compounds with HSA is important in the development of biomedical applications. A surface plasmon resonance (SPR) biosensor was utilized to reliably determine binding constants for several CLs with HSA. The maximum binding response of [1–9-NαC]-CLA/HSA was almost 20-fold higher than that of [1–8-NαC],[1-MetO]-CLE/HSA. Through analysis of an array of peptides, it was possible to correlate the impact of structural changes on CL binding. The oxidation of sulfur in methionine (Met) residues formed methionine S -oxide (MetO) and reduced binding significantly. Most strikingly, the further oxidation of MetO to S, S -dioxide (MetO 2 ) produced CLs with stronger binding. The large impact on binding by relatively small modifications of methionine containing CLs suggested that small changes in methionine oxidation can disrupt hydrophobic interaction, the predominant intermolecular force stabilizing the complex between CLs and HSA. SPR binding studies may aid in understanding the fate of CLs after consumption of flaxseed or flaxseed products or the development of CLs as drugs or drug carriers.
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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".