Identification and Characterization of the DNA-binding Domain of the Multifunctional PutA Flavoenzyme
Bibliographic record
Abstract
The PutA flavoprotein from Escherichia coli is a transcriptional repressor and a bifunctional enzyme that regulates and catalyzes proline oxidation. PutA represses transcription of genes putA and putP by binding to the control DNA region of the put regulon. The objective of this study is to define and characterize the DNA binding domain of PutA. The DNA binding activity of PutA, a 1320 amino acid polypeptide, has been localized to N-terminal residues 1-261. After exploring a potential DNA-binding region and an N-terminal deletion mutant of PutA, residues 1-90 (PutA90) were determined to contain DNA binding activity and stabilize the dimeric structure of PutA. Cell-based transcriptional assays demonstrate that PutA90 functions as a transcriptional repressor in vivo. The dissociation constant of PutA90 with the put control DNA was estimated to be 110 nm, which is slightly higher than that of the PutA-DNA complex (K(d) approximately 45 nm). Primary and secondary structure analysis of PutA90 suggested the presence of a ribbon-helix-helix DNA binding motif in residues 1-47. To test this prediction, we purified and characterized PutA47. PutA47 is shown to purify as an apparent dimer, to exhibit in vivo transcriptional activity, and to bind specifically to the put control DNA. In gel-mobility shift assays, PutA47 was observed to bind cooperatively to the put control DNA with an overall dissociation constant of 15 nm for the PutA47-DNA complex. Thus, N-terminal residues 1-47 are critical for DNA-binding and the dimeric structure of PutA. These results are consistent with the ribbon-helix-helix family of transcription factors.
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 | 0.001 |
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".