Horizontally acquired HosA transcription factor bound with 4-hydroxy-benzoic acid exhibits unique tug-of-water dynamics
Bibliographic record
Abstract
Abstract Pathogenic Escherichia coli ( E. coli ) causes serious illnesses in humans aided by several multiple antibiotic resistance regulator (MarR) transcription factors. Among these proteins, HosA provides support to these organisms by executing crucial roles in functions ranging from flagella motility to organic compound metabolism. The crystal structure of HosA from enteropathogenic E. coli is elucidated in this study along with conformational changes orchestrated by different amino acids due to para-hydroxy benzoic acid (PHB) binding in the hinge region. Structural analysis and extensive molecular dynamics simulation reveal role of a dynamic water molecule as a bridging entity in PHB bound structure which is not shown for any MarR structure yet. Also, it is shown that the HosA gene is transferred horizontally from Shigella to pathogenic E. coli , having 97.6% sequence similarity with an uncharacterized transcription factor from Shigella dysenteriae Sd197 . This study may be promising to address several unanswered questions for the functioning of MarR transcription factors from infectious E. coli and design inhibitors to combat these pathogens.
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) | 0.002 | 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".