Sulphonamides Unveiled: A Comprehensive Review of Mechanisms, Applications, and Therapeutic Insights
Bibliographic record
Abstract
Abstract: A large class of heterocyclic compounds with a variety of biologically diverse properties as well as many different therapeutic classes are built on the chemistry of the sulfonamide (or sulphonamide) functional group (SN). Sulfonamides, sometimes referred to as sulfa medicines, are the first medication that is extensively used and systemically significant for prophylactic and chemotherapeutic actions against various bacteria. Sulfonamides have a variety of pharmacological effects, such as oral hypoglycemia, antileprosy, anti-epileptic, anti-hypertensive, anti-bacterial, anti-protozoal, anti-fungal, antiretroviral, non-peptidic vasopressin receptor antagonists, anti-cancer, anti-inflammatory, and used as a diuretic. A global quest for new generation sulfonamide molecules has become essential due to the rise of drug-resistant bacterial and fungal infections. The sulphonamides or sulfa medications completely limit folic acid synthesis in microbes, which keeps them from proliferating rather than actively killing them. These sulfonamides can be employed in a wide range of synthetic procedures. The extensive utility of sulphonamides is the focus of this review's attention.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".