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Record W6912681108 · doi:10.5281/zenodo.8265007

Sulphonamides Unveiled: A Comprehensive Review of Mechanisms, Applications, and Therapeutic Insights

2023· peer-review· en· W6912681108 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typepeer-review
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme function and inhibition
Canadian institutionsKane Biotech (Canada)
Fundersnot available
KeywordsSulfonamideDrugFolic Acid AntagonistsFolic acidAntimicrobial

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.062
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.039
GPT teacher head0.282
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it