Simulated annealing exploration of an active‐site tyrosine in TEM‐1β‐lactamase suggests the existence of alternate conformations
Bibliographic record
Abstract
TEM-1 is a class A beta-lactamase that contributes to the primary defensive measure used by bacteria to hydrolyze the clinically-relevant beta-lactam antibiotics. Several crystal structures of this enzyme complexed with inhibitors display the active-site residue Tyr105 in an alternate orientation relative to that assigned in the free or in the substrate-bound forms. Thus, the alternate conformation may not be favored in the free enzyme and may be adopted only in the presence of inhibitor. As the residue at position 105 is a determinant of substrate specificity, we sought a better understanding of the relation between its conformation and its function in ligand binding. Here, we perform a molecular dynamics simulated annealing protocol to identify stable orientations adopted by Tyr105 in free TEM-1. Our results demonstrate that, in the absence of substrate, structurally validated conformers of Tyr105 predominantly adopt either of the two rotameric orientations observed in the crystal structures. This suggests that adoption of either conformation in the free enzyme is energetically favored and is not strictly promoted by ligand binding. We propose that free TEM-1 alternates between these two conformations of Tyr105 and that a dynamically heterogeneous population of both rotamers exists in solution. The conformational change significantly reshapes the active-site cavity and modifies the potential for forming specific ligand contacts. Our results add to the body of evidence suggesting that Tyr105 displays a dynamical behavior resulting in alternate ligand binding modes and are consistent with the lower affinity of TEM-1 for cephalosporins relative to penicillins.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".