Characterization of Functional Heme Domains from Soluble Guanylate Cyclase
Bibliographic record
Abstract
Soluble guanylate cyclase (sGC) is a heterodimeric, nitric oxide (NO)-sensing hemoprotein composed of two subunits, alpha1 and beta1. NO binds to the heme cofactor in the beta1 subunit, forming a five-coordinate NO complex that activates the enzyme several hundred-fold. In this paper, the heme domain has been localized to the N-terminal 194 residues of the beta1 subunit. This fragment represents the smallest construct of the beta1 subunit that retains the ligand-binding characteristics of the native enzyme, namely, tight affinity for NO and no observable binding of O(2). A functional heme domain from the rat beta2 subunit has been localized to the first 217 amino acids beta2(1-217). These proteins are approximately 40% identical to the rat beta1 heme domain and form five-coordinate, low-spin NO complexes and six-coordinate, low-spin CO complexes. Similar to sGC, these constructs have a weak Fe-His stretch [208 and 207 cm(-)(1) for beta1(1-194) and beta2(1-217), respectively]. beta2(1-217) forms a CO complex that is very similar to sGC and has a high nu(CO) stretching frequency at 1994 cm(-)(1). The autoxidation rate of beta1(1-194) was 0.073/min, while the beta2(1-217) was substantially more stable in the ferrous form with an autoxidation rate of 0.003/min at 37 degrees C. This paper has identified and characterized the minimum functional ligand-binding heme domain derived from sGC, providing key details toward a comprehensive characterization.
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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".