Significance of Benzimidazole analogues for the creation of novel molecules in drug discovery
Bibliographic record
Abstract
Fused heterocyclic derivatives have become an important scaffold nowadays, which could be used as a template in drug development and medicinal chemistry. Benzimidazole moiety is an imperious aromatic heterocycle which is frequently present in naturally occurring products such as purines, vitamin B 12 and histidine as well as synthesized bioactive compounds, indomethacin and albendazole, for example. This study comprises widespread and comprehensive literature analysis on chemical reactivity and biological properties associated with Benzimidazole containing molecules. Benzimidazole ring structure possesses an extensive variety of pharmacological activities in several medications of therapeutic interest against a variety of diseases such as hypertension, malaria, cancer, microbial diseases, inflammatory disorders, etc. Furthermore, this fused heterocycle benzimidazole core might interact with various anions and cations in addition to biomolecules over different reactions in the human body, therefore exhibiting wide-ranging biological activities such as antineoplastic, antibacterial and antifungal, anti-inflammatory and analgesic, antihypertensive, antiviral and antidepressant. In this review, we are focusing on the chemistry and recent biological activities, designing approaches, and SAR (structure-activity relationship) data of different benzimidazole-based analogues during the past years.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".