The First Nucleotide Binding Domain of the Sulfonylurea Receptor 2A Contains Regulatory Elements and Is Folded and Functions as an Independent Module
Bibliographic record
Abstract
The sulfonylurea receptor 2A (SUR2A) is an ATP-binding cassette (ABC) protein that forms the regulatory subunit of ATP-sensitive potassium (K(ATP)) channels in the heart. ATP binding and hydrolysis at the SUR2A nucleotide binding domains (NBDs) control gating of K(ATP) channels, and mutations in the NBDs that affect ATP hydrolysis and cellular trafficking cause cardiovascular disorders. To date, there is limited information on the SUR2A NBDs and the effects of disease-causing mutations on their structure and interactions. Structural and biophysical studies of NBDs, especially from eukaryotic ABC proteins like SUR2A, have been hindered by low solubility of the isolated domains. We hypothesized that the solubility of heterologously expressed SUR2A NBDs depends on the precise definition of the domain boundaries. Putative boundaries of SUR2A NBD1 were identified by structure-based sequence alignments and subsequently tested by exploring the solubility of SUR2A NBD1 constructs with different N and C termini. We have determined boundaries of SUR2A NBD1 that allow for soluble heterologous expression of the protein, producing a folded domain with ATP binding activity. Surprisingly, our alignment and screening data indicate that SUR2A NBD1 contains two putative, previously unidentified, regulatory elements: a large insert within the β-sheet subdomain and a C-terminal extension. Our approach, which combines the use of structure-based sequence alignments and predictions of disordered regions combined with biochemical and biophysical studies, may be applied as a general method for developing suitable constructs of other NBDs of ABC proteins.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".