Characterization of a Thioredoxin-Thioredoxin Reductase System from the Hyperthermophilic Bacterium<i>Thermotoga maritima</i>
Bibliographic record
Abstract
A thioredoxin reductase and a thioredoxin were purified to homogeneity from a cell extract of Thermotoga maritima. The thioredoxin reductase was a homodimeric flavin adenine dinucleotide (FAD)-containing protein with a subunit of 37 kDa estimated using SDS-PAGE, which was identified to be TM0869. The amino acid sequence of the enzyme showed high identities and similarities to those of typical bacterial thioredoxin reductases. Although the purified T. maritima thioredoxin reductase could not use thioredoxin from Spirulina as an electron acceptor, it used thioredoxin that was purified from T. maritima by monitoring the dithiothreitol-dependent reduction of bovine insulin. This enzyme also catalyzed the reduction of benzyl viologen using NADH or NADPH as an electron donor with apparent V(max) values of 1,111 +/- 35 micromol NADH oxidized min(-1)mg(-1) and 115 +/- 2.4 micromol NADPH oxidized min(-1)mg(-1), respectively. The apparent K(m) values were determined to be 89 +/- 1.1 microM, 73 +/- 1.6 microM, and 780 +/- 20 microM for benzyl viologen, NADH, and NADPH, respectively. Optimal pH values were determined to be 9.5 and 6.5 for NADH and NADPH, respectively. The enzyme activity increased along with the rise of temperature up to 95 degrees C, and more than 60% of the activity remained after incubation for 28 h at 80 degrees C. The purified T. maritima thioredoxin was a monomer with a molecular mass of 31 kDa estimated using SDS-PAGE and identified as TM0868, which exhibited both thioredoxin and thioltransferase activities. T. maritima thioredoxin and thioredoxin reductase together were able to reduce insulin or 5,5'-dithio-bis(2-nitrobenzoic acid) using NAD(P)H as an electron donor. This is the first thioredoxin-thioredoxin reductase system characterized from hyperthermophilic bacteria.
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 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".