The Roles of Hydroxyl Substituents in Tyrosinase Inhibitory Activation of Flavone Analogues
Bibliographic record
Abstract
Tyrosinase 저해활성화 반응에 대한 polyhydroxy 치환된 flavone 유도체(1-25) 중, hydroxyl-치환기(<TEX>$R_1-R_9$</TEX>)들의 역할을 이해하기 위하여 Free-Wilson 분석과 tyrosinase (PDB ID: Deoxyform (2ZMX) 및 Oxy-form; 1WX2)의 활성화 지점에 대한 분자도킹이 연구되었다. Free-Wilson 분석으로부터 <TEX>$R_1-R_9$</TEX> 치환기중에서 <TEX>$R_1$</TEX>=hydroxyl 치환기가 tyrosinase 저해활성에 가장 큰 영향을 미치고 있음을 알았다. 기질분자의 hydroxyl 치환기들과 tyrosinase의 반응점 내 아미노산 잔기들 사이의 수소결합들은 안정한 기질-수용체 착 화합물을 형성하는데 기여하였다. 특히, 수소결합성에 기초한 비경쟁적 저해활성화 반응은 기질분자의 hydroxyl 치환기들과 tyrosinase의 반응점 내 peroxide 산소원자(Per404) 사이의 수소결합을 경유하여 일어날 것임을 제안하였다. Molecular docking of polyhydroxy substituted flavone analogues (1-25) as substrate molecules to the active site of tyrosinase (PDB ID: Deoxy-form (2ZMX) & Oxy-form (1WX2)) and Free-Wilson analysis were studied to understand the roles of hydroxyl substituents (<TEX>$R_1-R_9$</TEX>) in substrate molecules for the tyrosinase inhibitory activation. It is founded from Free-Wilson analysis that the <TEX>$R_1$</TEX>=hydroxyl among <TEX>$R_1-R_9$</TEX> substituents had the strongest influence on the tyrosinase inhibitory activity. H-bonds between the hydroxyl substituents of substrate molecules and amino acid residues in the active site of tyrosinase were contributed to make a stable substrate-receptor complex compound. Particularly, it is proposed from the findings that the noncompetitive inhibitory activation would take place via H-bonding between peroxide oxygen (Per404) atom in the active site of tyrosinase and the hydroxyl substituents in substrate molecule.
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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".