Bibliographic record
Abstract
Glutamate racemase, MurI, catalyzes the interconversion of glutamate enantiomers in a cofactor-independent fashion and provides bacteria with a source of D-Glu for use in peptidoglycan biosynthesis. The enzyme uses a "two-base" mechanism involving a deprotonation of the substrate at the alpha-position to form an anionic intermediate, followed by a reprotonation in the opposite stereochemical sense. In the Lactobacillus fermenti enzyme, Cys73 is responsible for the deprotonation of D-glutamate, and Cys184 is responsible for the deprotonation of L-glutamate; however, very little is known about the roles of other active site residues. This work describes the preparation of four mutants in which strictly conserved residues containing ionizable side chains were modified (D10N, D36N, E152Q, and H186N). During the course of this research, the structural analysis of a crystallized glutamate racemase indicated that three of these residues (D10, E152, and H186) are in the active site of the enzyme [Hwang, K. Y., Cho, C.-S., Kim, S. S., Sung, H.-C., Yu, Y. G., and Cho, Y. (1999) Nat. Struct. Biol. 6, 422-426]. Two of the mutants, D10N and H186N, displayed a marked decrease in the values of k(cat), but not K(M), and are therefore implicated as important catalytic residues. Further analysis of the primary kinetic isotope effects observed with alpha-deuterated substrates showed that a significant asymmetry was introduced into the free energy profile by these two mutations. This is interpreted as evidence that the mutated residues normally assist the catalytic thiols in acting as bases (D10 with C73 and H186 with C184). An alternate possibility is that the residues may serve to stabilize the carbanionic intermediate in the racemization reaction.
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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 | 0.000 |
| 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) | 0.001 | 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".