Bibliographic record
Abstract
The linear recognition sequences of an anti-beta(3) antibody that blocked platelet aggregation were identified using beta(3) tryptic peptides. Two of these recognition sequence-containing peptides were mapped to beta(3) 92-105, and antibodies affinity purified using these peptides blocked platelet aggregation. Examining the structure of alpha(IIb)beta(3) identified beta(3) 95-105 as the solvent accessible sequence within beta(3) 92-105. A peptide corresponding to beta(3) 95-105 was synthesized and used to affinity purify the beta(3) antibody. Anti-beta(3) 95-105 completely blocked platelet aggregation and agonist-induced fibrinogen binding to platelets, but had no effect on cyclic-RGD binding. Binding of anti-beta(3) 95-105 to alpha(IIb)beta(3) also did not alter the structure of the alpha(IIb) cap subdomain, as measured by anti-alpha(IIb) 201-217 binding. beta(3) 95-105 and peptides spanning two adjacent sequences in the structure of beta(3) did not bind fibrinogen and were ineffectual in blocking agonist-induced platelet aggregation. Structure analysis revealed that beta(3) 95-105 is adjacent to one of the two hinges in beta(3) that allows for the outward swing of the hybrid and PSI domains which is central to the conversion of alpha(IIb)beta(3) from a low into a high affinity state. Thus, the binding of an antibody to beta(3) 95-105 could serve as a fulcrum for allosteric regulation of alpha(IIb)beta(3) by regulating the movement of the hybrid-PSI domain.
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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) | 0.003 | 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".