Heparins mediate the multimer assembly of secreted Noggin
Bibliographic record
Abstract
Abstract Extracellular matrix proteins are most often defined by their direct function that involves receptor binding and subsequent downstream signaling. However, these proteins often contain structural binding regions that allow for the proper localization in the extracellular space which guides its correct function in a local and temporal manner. The regions that serve a structural function, although often associated with disease, tend to have a limited understanding. An example of this is the extracellular matrix protein Noggin; as part of the bone morphogenetic protein inhibitor family, Noggin serves a crucial regulatory function in mammalian developmental stages and later periods of life. Noggin's regular function, after its expression and extracellular release, is mediated by its retention in close proximity to the cellular surface by glycosaminoglycans, specifically heparin and heparan sulfate. Using a biophysical hybrid method approach, we present a close examination of the Noggin heparin binding interface, study its dynamic binding behaviors and observe supramolecular Noggin assemblies mediated by heparin ligands. This confirms previously suggested models of non‐covalent protein assemblies mediated through glycosaminoglycans that exist in the extracellular matrix. Further, structural analyses through molecular dynamics simulations allowed us to determine contribution energies for each protein residue involved in ligand binding and correlate this to disease associated mutation data. Our combination of various biophysical and computational methods that characterize the heparin binding interface on Noggin and its protein dynamics expands on the functional understanding of Noggin and can readily be applied to other protein systems.
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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".