Probing the Acyl-Binding Pocket of Aminoacylase-1
Bibliographic record
Abstract
The aminoacylase-1/metallopeptidase 20 (Acy1/M20) family features several l-aminoacylases useful in biocatalysis. Mammalian Acy1, in particular, has been applied in racemic resolution and reverse hydrolysis. Despite recent advances in our understanding of the active site architecture and functioning, determinants of Acy1 substrate specificity have remained uncharted. Comparison to bacterial homologues points to a sterically more restricted acyl-binding pocket for Acy1. Here we sought to map characteristics of the acyl-binding pocket of human and porcine Acy1. Toward this end, we determined Michaelis constants for an analogue series of aliphatic N-acyl- l-methionine substrates and translated the values into three-dimensional quantitative structure-activity relationship models employing the minimal topological difference-partial least square method. The QSAR models for the two enzymes suggest overall similar binding pockets in the acetyl-binding portion and indicate a general preference for straight-chain acyl moieties. Embedding of the QSAR map for human Acy1 in the structure of its metal-binding domain associates the side chain of Ile177 with limited acyl chain elongation which was not observed for the porcine enzyme. The topological model further supports roles of Thr347 and Leu372, which are both conserved in the porcine enzyme, in restricting acyl chain branching at the alpha- and beta-positions, respectively. Mutational analyses confirmed our predictions for Thr347 and Leu372. Moreover, the T347S variant of human Acy1 exhibited markedly increased catalytic efficiency against N-benzoylamino acids, demonstrating the potential for engineering of substrate specificity in Acy1. We discuss the more general application of the employed procedure for protein design.
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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".