The recognition and catalytic hydrolysis of ATP by protonated phenanthroline-bridged polyamine and (or) Ca(II), Mg(II), Zn(II), and La(III) ions
Bibliographic record
Abstract
The supramolecular interactions of 2,9-di(((2′-phenylamino)ethyleneamino)methyl)-1,10-phenanthroline (L) and (or) metal ions (M = Ca 2+ , Mg 2+ , Zn 2+ , or La 3+ ) with nucleotides were investigated. Furthermore, the hydrolysis of ATP catalyzed by a protonated ligand and (or) a metal ion (M = Ca 2+ , Mg 2+ , Zn 2+ , or La 3+ ) was studied at pH 7.6 using 31 P NMR spectra. Kinetics studies show that at pH 7.6 the protonated ligand, with a rate constant of 2.9 × 10 4 min 1 , does not significantly promote ATP hydrolysis. However, in the presence of Ca 2+ , Mg 2+ , Zn 2+ , or La 3+ ions, L can accelerate the hydrolysis of ATP, with corresponding rate constants of 5.73, 1.48, 6.76, and 31.7 × 10 3 min 1 , respectively, which are about 29-, 7.5-, 34-, and 159-fold faster than the hydrolysis rate of free ATP. By comparison with MATP (M = Ca 2+ , Mg 2+ , and La 3+ ) systems, the rates of MLATP were also promoted. This has been achieved through the effective recognition of ATP and the availability of a good intramolecular nucleophile, i.e., a free amino nitrogen atom of L. Compared with the Zn 2+ ATP system, the decrease in the rate of the Zn 2+ LATP system at pH 7.6 may be attributed to the competition between the mixed ligands in binding Zn 2+ . Similar to LATP, the hydrolysis reactions in the Zn 2+ LATP or MLATP (M = Ca 2+ , Mg 2+ , and La 3+ ) systems occur through an additionelimination type mechanism, in which phosphoramidate intermediates were observed at 2.88 and 4.06 parts per million (ppm) in the LATP and Mg 2+ LATP systems, respectively. Here, metal ions add control or regulation to the hydrolysis reaction. Key words: recognition, ATP hydrolysis, metal ions, phenanthroline-bridged polyamine.
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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 | 0.001 | 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".