Metal Ion Binding to Human Hemopexin
Bibliographic record
Abstract
Binding of divalent metal ions to human hemopexin (Hx) purified by a new protocol has been characterized by metal ion affinity chromatography and potentiometric titration in the presence and absence of bound protoheme IX. ApoHx was retained by variously charged metal affinity chelate resins in the following order: Ni(2+) > Cu(2+) > Co(2+) > Zn(2+) > Mn(2+). The Hx-heme complex exhibited similar behavior except the order of retention of the complex on Zn(2+)- and Co(2+)-charged columns was reversed. One-dimensional (1)H NMR of apoHx in the presence of Ni(2+) implicates at least two His residues and possibly an Asp, Glu, or Met residue in Ni(2+) binding. Potentiometric titrations establish that apoHx possesses more than two metal ion binding sites and that the capacity and/or affinity for metal ion binding is diminished when heme binds. For most metal ions that have been studied, potentiometric data did not fit to binding isotherms that assume one or two independent binding sites. For Mn(2+), however, these data were consistent with a high-affinity site [K(A) = (15 +/- 3) x 10(6) M(-)(1)] and a low-affinity site (K(A) <or= 2 x10(3) M(-)(1)). Binding of Cu(2+) and Zn(2+) to the Hx-heme complex produced significant changes in the Soret-CD spectrum of the Hx-heme complex that were reversed with addition of EDTA. Possibly, these metal ions bind near the heme binding site and perturb the electronic environment of the heme, or their binding induces exchange of one axial His ligand to the heme iron with another adjacent His residue. A possible role for Hx in the maintenance of metal ion homeostasis is discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".