Design, Synthesis, and Molecular Docking of Novel Benzothiazinone Derivatives as DprE1 Inhibitors with Potential Antitubercular Activities
Bibliographic record
Abstract
Abstract Objective: As a possible antitubercular agent, we disclose in this study the design and synthesis of a novel series of benzothiazinone derivatives (Va–Vi), contributing to the worldwide fight to eradicate TB, one of the deadliest infectious killers in the world. Methods: The newly synthesized benzothiazinone derivatives were characterized using various spectroscopic and elemental analysis techniques. The antituberculosis activity of the synthesized benzothiazinone derivatives was evaluated against drug-sensitive Mtb H37Rv and MDR-TB strains. To explain their inhibitory qualities, potent compounds underwent molecular docking studies. The synthetic molecules’ ability to function as lead-like molecules and the drug-likeness of the compounds were computed using the SwissADME online tool. Results and Discussion: With a MIC of 0.01 and 0.21 µM, respectively, compound (Vi) showed the most promising antitubercular efficacy against drug-sensitive Mtb H37Rv and MDR-TB strains. Four of the nine studied compounds had strong DprE1 inhibitory action, with IC50 values ranging from 0.02 to 0.79 μM. The molecular docking findings indicated that these compounds had a high docking score and a strong binding affinity to the target DprE1 protein’s active pocket. Conclusions: The current study demonstrated the potential significance of novel benzothiazinone derivatives as antitubercular prospects, and further investigation into optimization may lead to the creation of new antitubercular medication candidates.
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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) | 0.001 | 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) | 0.000 | 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".