Identification of amino acids imparting acceptor substrate selectivity to human arylamine acetyltransferases NAT1 and NAT2
Bibliographic record
Abstract
The human arylamine N-acetyltransferases NAT1 and NAT2 catalyse the acetyl-CoA-dependent N- and O-acetylation of primary arylamine and hydrazine xenobiotics and their N-hydroxylated metabolites. We previously used a panel of recombinant NAT1/NAT2 chimaeric proteins to identify linear amino acid segments that have roles in imparting the distinct catalytic specificities to these proteins [Dupret, Goodfellow, Janezic and Grant (1994) J. Biol. Chem. 269, 26830-26835]. These studies indicated that a conserved central region (residues 112-210) distinct from that containing the active-site cysteine residue Cys(68) was important in determining NAT substrate selectivity. In the present study we have refined our analysis through further chimaera generation of this conserved region and by subsequent site-directed mutagenesis of individual amino acids. Enzyme-kinetic analysis of these mutant proteins with the NAT1-selective and NAT2-selective substrates p-aminosalicylic acid (PAS) and sulphamethazine (SMZ) respectively suggests that residues 125, 127 and 129 are important determinants of NAT1-type and NAT2-type substrate selectivity. Modification of Arg(127) had the greatest effect on specificity for PAS, whereas changing Phe(125) had the greatest effect on specificity for SMZ. Selected NAT mutants exhibited K(m) values for acetyl-CoA that were comparable with those of the wild-type NATs, implying that the mutations affected acceptor substrate specificity rather than cofactor binding affinity. Taken together with previous observations, these results suggest that residues 125, 127 and 129 might contribute to the formation of the active-site pocket surrounding Cys(68) and function as important determinants of NAT substrate selectivity.
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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) | 0.003 | 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".