Crystal Structure and Enantiomer Selection by <scp>d</scp>-Alanyl Carrier Protein Ligase DltA from <i>Bacillus cereus</i>
Bibliographic record
Abstract
Ubiquitous D-alanylation of lipoteichoic acids modulates the surface charge and ligand binding of the gram-positive cell wall. Disruption of the bacterial DltABCD gene involved in teichoic acid alanylation, as well as inhibition of the DltA protein, has been shown to increase a gram-positive bacterium's susceptibility to antibiotics. The DltA D-alanyl carrier protein ligase promotes a two-step process starting with adenylation of D-alanine. We have determined the 2.0 A resolution crystal structure of a DltA protein from Bacillus cereus in complex with the D-alanine adenylate intermediate of the first reaction. Despite the low level of sequence similarity, the DltA structure resembles known structures of adenylation domains such as the acetyl-CoA synthetase. The enantiomer selection appears to be enhanced by the medium-sized side chain of Cys-269. The Ala-269 mutant protein shows marked loss of such selection. The network of noncovalent interactions between the D-alanine adenylate and DltA provides structure-based rationale for aiding the design of tight-binding DltA inhibitors for combating infectious gram-positive bacteria such as the notorious methicillin-resistant Staphylococcus aureus.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".