Interaction of human serum albumin with oxovanadium ions studied by FT-IR spectroscopy and gel and capillary electrophoresis
Bibliographic record
Abstract
Some oxovanadium compounds have shown potential to inhibit RNase activity, while at the same time not inhibiting DNase activity. Some vanadyl complexes also inhibit protein synthesis in rabbit reticulocytes, but induce activation of proteintyrosine kinase. To gain an insight into the interaction of oxovanadium ions with proteins, the present study was designed to examine the bindings of VOSO4 and NaVO3 salts with human serum albumin (HSA) in aqueous solution at physiological pH with metal ion concentrations of 0.0001 to 1 mM and HSA (fatty acid free) concentration of 2% w/v. Gel and capillary electrophoresis (CE) and Fourier transform infrared (FT-IR) spectroscopic methods were used to determine the metal ion binding mode, association constant, and the secondary structure of the protein in the presence of the oxovanadium compounds. Gel electrophoresis results showed that a maximum of 20 vanadyl cations (VO2+) are bound per HSA molecule with strong (K1 = 7.0 × 107 M1) and weak (K2 = 6.5 × 105 M1) bindings. Similarly, capillary electrophoresis showed two major bindings for vanadyl cation with K1 = 1.2 × 108 M1 and K2 = 8.5 × 105 M1, whereas vanadate (VO3) has only a weak binding affinity (K = 6.0 × 103 M1) with HSA molecule. The VO3 binds mainly to the lysine ε-amino NH+3 groups, while VO2+ binds possibly to the histidine nitrogen atom and the N-terminal of the α-amine residue. Infrared spectroscopic analysis showed metal ion binding results in major protein secondary structural changes from that of the α-helix (55.0 to 4344%) to the β-sheet (22.0 to 2326%), β-antiparallel (12.0 to 1316%), and turn (11.0 to 1718%), at high metal ion concentration. The observed spectral changes indicate a partial unfolding of the protein structure, in the presence of oxovanadium ions.Key words: oxovanadium, protein, binding mode, binding constant, secondary structure, electrophoresis, FT-IR spectroscopy.
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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".