Molecular modeling utilizing purple acid phosphatase biomimetic models
Bibliographic record
Abstract
Purple acid phosphatases (PAPs) constitute a new class of metalloenzymes that catalyze the hydrolysis of certain phosphate esters, including nucleoside di- and triphosphates and aryl phosphates, under acidic conditions. To provide some insight into these metalloenzymes we have performed quantum chemical and molecular mechanics calculations based on the mixed-valence [FeIIFeIII(BPBPMP)(OAc)2]+ model complex (1) (H2BPBPMP = 2-bis[{(2-pyridylmethyl)-aminomethyl}-6-{(2-hydroxybenzyl)-(2-pyridylmethyl)}-aminomethyl]-4-methylphenol). The geometric and the vibrational parameters calculated by molecular mechanics show that the force fields established in this work reproduce the binuclear iron core with µ-phenoxo or µ-alkoxo and di-µ-acetate bridges presented in the PAPs model complexes. The atomic orbital analysis of the SOMO contributions indicated that the FeIII atom and the terminal phenolate are involved in the phenolate to FeIII charge transfer electronic transition in 1 as argued from electronic spectroscopic data in the PAPs. Key words: mixed-valence FeIIFeIII complex, purple acid phosphatases, molecular modeling.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".