Synthesis and Characterization of Site-Selective Orbitide–BSA Conjugate to Produce Antibodies
Bibliographic record
Abstract
Bioactive flax cyclic peptides (orbitides and linusorbs) were site-specifically ligated through methionine with bovine serum albumin (BSA) to produce immunogenic compounds. In this study, modified flaxseed immunosuppressant orbitides (linusorbs or LOs) containing hydroxyl (OH) groups were synthesized for use as haptens. These compounds were extensively characterized by 1 H nuclear magnetic resonance (NMR), 13 C NMR, high-performance liquid chromatography–tandem mass spectrometry, and Fourier transform infrared spectroscopy. The haptens were conjugated to BSA, and the extent of hapten incorporation was determined by matrix-assisted laser desorption and ionization, liquid chromatography–electrospray ionization–mass spectrometry, and sodium dodecyl sulfate polyacrylamide gel electrophoresis. The BSA hapten complexes were used to elicit polyclonal antibody (pAbs) production in rabbits. A competitive indirect enzyme-linked immunosorbent assay (CI-ELISA) was developed that used orbitide-specific pAbs and horseradish peroxidase (HRP) conjugates. The LO assay detection limit was approximately 0.01 μg/mL (ppm), and thus, ELISA can be used for the detection of LOs in tissue and plant samples. The pAbs can be used to detect and quantify LOs in flax and flaxseed samples, to verify the presence of LOs in flaxseed containing foods, and for the detection of LOs in tissue samples, wastes, and body fluids of animals fed flaxseed.
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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) | 0.001 | 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".