Identification of functionally important residues and structural features in a bacterial lignostilbene dioxygenase
Bibliographic record
Abstract
Lignostilbene-α,β-dioxygenase A (LsdA) from the bacterium Sphingomonas paucimobilis TMY1009 is a nonheme iron oxygenase that catalyzes the cleavage of lignostilbene, a compound arising in lignin transformation, to two vanillin molecules. To examine LsdA's substrate specificity, we heterologously produced the dimeric enzyme with the help of chaperones. When tested on several substituted stilbenes, LsdA exhibited the greatest specificity for lignostilbene ( k cat app = 1.00 ± 0.04 × 10 6 m −1 s −1 ). These experiments further indicated that the substrate's 4-hydroxy moiety is required for catalysis and that this moiety cannot be replaced with a methoxy group. Phenylazophenol inhibited the LsdA-catalyzed cleavage of lignostilbene in a reversible, mixed fashion ( K ic = 6 ± 1 μm, K iu = 24 ± 4 μm). An X-ray crystal structure of LsdA at 2.3 Å resolution revealed a seven-bladed β-propeller fold with an iron cofactor coordinated by four histidines, in agreement with previous observations on related carotenoid cleavage oxygenases. We noted that residues at the dimer interface are also present in LsdB, another lignostilbene dioxygenase in S. paucimobilis TMY1009, rationalizing LsdA and LsdB homo- and heterodimerization in vivo . A structure of an LsdA·phenylazophenol complex identified Phe 59 , Tyr 101 , and Lys 134 as contacting the 4-hydroxyphenyl moiety of the inhibitor. Phe 59 and Tyr 101 substitutions with His and Phe, respectively, reduced LsdA activity ( k cat app ) ∼15- and 10-fold. The K134M variant did not detectably cleave lignostilbene, indicating that Lys 134 plays a key catalytic role. This study expands our mechanistic understanding of LsdA and related stilbene-cleaving dioxygenases.
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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 | 0.000 |
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".