Conformational analysis of human serum albumin and its non-enzymatic glycation products using monoclonal antibodies
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
Monoclonal antibodies (mAbs) were prepared to analyse the conformation of human serum albumin (HSA) and its non-enzymatic glycation (NEG) products. We first determined the epitopes of the mAbs using HSA subdomains expressed on the surface of yeast. Each mAb was classified as belonging to one of two groups; Type I mAbs which recognized a single subdomain structure and Type II mAbs which bound to plural subdomains. We analysed the pH-dependent conformational change in HSA. We found that one Type II mAb, HAy2, detected the normal to base form (N-B) transition while the other did not, suggesting that N-B transition occurred around Domain I accompanied by topological isomerization of subdomains without changing the subdomain structure itself. Next, we analysed the conformations of the NEG products. Since all mAbs reacted with the early NEG products, no structural change was thought to have occurred in the early NEG products. On the other hand, only a Type I mAb, HAy1, had full binding activity with the advanced glycation end products (AGE) while the other mAbs had lost or had diminished activity, suggesting that the over-all tertiary structure of HSA was altered except for a subdomain, sDOM Ia, in AGE.
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