Direct Quantification of Protein−Metal Ion Affinities by Electrospray Ionization Mass Spectrometry
Bibliographic record
Abstract
The application of the direct electrospray ionization mass spectrometry (ES-MS) assay for quantifying the stoichiometry and absolute affinity of protein-metal ion binding in vitro is described. Control ES-MS experiments performed on solutions containing calcium chloride or calcium acetate and a pair of proteins that do not bind calcium ions in solution revealed that the nonspecific association of metal ions to proteins during ES is a random process, independent of protein size and structure. These results establish the reliability of the reference protein method for quantitatively correcting ES mass spectra for the occurrence of nonspecific metal ion binding to proteins during ES-MS analysis. To demonstrate the utility of the direct ES-MS assay, when carried out using the reference protein method, the calcium binding stoichiometry of bovine alpha-lactalbumin and the calcium ion affinity of bovine beta-lactoglobulin were established.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".