Mapping the Binding and Calmodulin-Dependent Activation of Nitric Oxide Synthase Isozymes
Bibliographic record
Abstract
Calmodulin (CaM) is a ubiquitous cytosolic Ca 2+ -binding protein that can bind and activate numerous intracellular target proteins including the nitric oxide synthase (NOS) enzymes.There are three different isoforms of NOS found in mammals -neuronal NOS (nNOS), endothelial NOS (eNOS), and inducible NOS (iNOS) -with all three isozymes capable of producing the free radical, nitric oxide (•NO).At elevated cellular Ca 2+ concentrations, CaM is able to bind and activate nNOS and eNOS.In contrast, the iNOS isozyme is transcriptionally regulated and binds to CaM in the absence of Ca 2+ .To further investigate the differences in the association of CaM to the Ca 2+ -dependent and Ca 2+independent NOS isoforms, a variety of CaM mutants were employed.These included CaM-troponin C chimeras, CaM EF hand pair proteins, CaM mutants incapable of binding to Ca 2+ , methionine oxidized CaM mutants, phosphomimetic CaM mutants and central linker CaM mutants.By characterizing these CaM proteins using a variety of biochemical techniques, we have mapped the binding and the CaM-dependent activation of the NOS enzymes to study their effect on the different electron transfer steps within the NOS enzymes.In addition, fluorescence and Förster resonance energy transfer (FRET) were used to monitor the orientation and conformation of CaM when bound to the NOS peptides and enzymes.Combining these cumulative results, a working model describing the CaM-dependent regulation of iNOS is proposed.
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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 | 0.001 |
| 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".