Discrete functional motifs reside within the cytoplasmic tail of αV integrin subunit
Bibliographic record
Abstract
Previous studies have demonstrated that cell-permeable cytoplasmic tail (CT) alpha(II)beta peptides can modulate the activation of alpha(IIb)b(3). As alpha(V) CT contains an alpha(II)beta homologous region, a series of cell-permeable alpha(V) and alpha(IIb) peptides were generated to determine if alpha(V) CT can modulate the activation of beta(3) integrins in comparison to alpha(IIb), and to identify the minimal bioactive sequences in alpha(V) CT. Using NMR structures and molecular models as guides, the initial peptides for study encompassed the alpha(II)beta homologous sequences of alpha(V) CT (alpha(V)(987-1006); V-1), its amino-terminus (alpha(V)(987-993); V-2), a turn motif (alpha(V)(993-1001); V-3), the carboxyl-terminus (alpha(V)(999-1006); V-4), and corresponding homologous alpha(IIb) peptides. Treatment of platelets and alpha(V)beta(3)-expressing cells with the peptides revealed that IIb-1 inhibited alpha(IIb)beta(3) activation and V-1 inhibited alpha(V)beta(3) activation, but not vice versa. The inhibitory capacity of these peptides was mapped to the central turn-motif region which was encompassed by V-3, but only partially by IIb-3. V-2 and IIb-2 activated both beta(3) integrins, while V-4 and IIb-4 were inactive. The use of truncation and mutant peptides confirmed the importance of the turn motif for inhibitory activity and identified the side-chain of alpha(V)(Q1001) as a critical inhibitory residue. The difference in the integrin inhibitory capacity of alpha(V) and alpha(IIb) peptides and their capacity to influence the assembly of kinases with integrin CTs, reveals a possible divergence in the regulatory control of the two beta(3) integrins.
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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".