Tryptophan fluorescence of calmodulin binding domain peptides interacting with calmodulin containing unnatural methionine analogues
Bibliographic record
Abstract
The interactions between the abundant methionine residues of the calcium regulatory protein calmodulin (CaM) and several of its binding targets were probed using fluorescence spectroscopy. Tryptophan steady-state fluorescence from peptides encompassing the CaM-binding domains of the target proteins myosin light chain kinase (MLCK), cyclic nucleotide phosphodiesterase (PDE) and caldesmon site A and B (CaD A, CaD B), and the model peptide melittin showed Ca(2+)-dependent blue-shifts in their maximum emission wavelength when complexed with wild-type CaM. Blue-shifts were also observed for complexes in which the CaM methionine residues were replaced by selenomethionine, norleucine and ethionine, and when a quadruple methionine to leucine C-terminal mutant of CaM was studied. Quenching of the tryptophan fluorescence intensity was observed with selenomethionine, but not with norleucine or ethionine substituted protein. Fluorescence quenching studies with added potassium iodide (KI) demonstrate that the non-native proteins limit the solvent accessibility of the Trp in the MLCK peptide to levels close to that of the wild-type CaM-MLCK interaction. Our results show that the methionine residues from CaM are highly sensitive to the target peptide in question, confirming the importance of their role in binding interactions. In addition, we provide evidence that the nature of binding in the CaM-CaD B complex is unique compared with the other complexes studied, as the Trp residue of this peptide remains partially solvent exposed upon binding to CaM.
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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".