Chorography and conformational dynamism of the Soluble Human Fibrinogen in solution
Bibliographic record
Abstract
Abstract Fibrinogen is a soluble, multi-subunit and multi-domain dimeric protein, which, upon its proteolytic cleavage by thrombin, is converted to insoluble fibrin initiating polymerization that substantially contributes to clot growth. The consentaneous structural view of the soluble form of fibrinogen is relatively straight and rigid-like. However, fibrinogen contains numerous, transiently-accessible “cryptic” epitopes for hemostatic and immunologic proteins, suggesting that fibrinogen exhibits conformational flexibility, which may play functional roles in its temporal and spatial interactions. Hitherto, there has been limited information on the solution structure and internal flexibility of soluble fibrinogen. Here, utilizing an integrative, biophysical approach involving temperature-dependent hydrogen-deuterium exchange mass spectrometry, small angle X-ray scattering, and negative stain electron microscopy, we present a holistic, conformationally dynamic model of human fibrinogen in solution. Our data reveal a high degree of internal flexibility, accommodated by four major and distinct flexible sites along the central axis of the protein. We propose that the fibrinogen structure in solution consists of a complex, conformational landscape with multiple local minima, rather than a single, rigid topology. This is further supported by the location of numerous point mutations that are linked to dysfibrinogenemia, and post-translational modifications, residing near fibrinogen flexions. This work provides a molecular basis for the structural “dynamism” of fibrinogen that is expected to influence the broad swath of functionally diverse macromolecular interactions and fine-tune the structural and mechanical properties of blood clots.
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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".