Chemical synthesis, in vitro testing, and in silico Nampt-based molecular docking of novel aniline aromatic ring-substituted 2-aminothiazole analogs
Bibliographic record
Abstract
The heterocyclic 2-aminothiazoles scaffolds are used in a wide range of therapeutic applications against various diseases for its antioxidant, anti-inflammatory, antimicrobial and anticancer actions. In this study, we synthesized novel aniline aromatic ring-substituted 2-aminothiazole derivatives. Molecular docking was performed using Glide module of the Schrödinger Suite to fit compounds JG-49, JG-62, and KBA-18 against the Nicotinamide phosphoribosyl transferase (Nampt) enzyme, an intracellular regulator of nicotinamide adenine dinucleotide (NAD) redox cofactor involved in energy metabolism and epigenetics and are implicated in aging and metabolic diseases. The three compounds viz. JG-49, JG-62, and KBA-18 showed an increase in Nampt enzymatic activity in vitro. All three substituted derivatives of 2-aminothiazole showed no cytotoxicity with the mouse C2C12 myoblasts cultures assessed with the MTT cell viability assay. Moreover, the wound closure of the mouse C2C12 myoblasts in vitro displayed no significant difference between the treatment groups of the 2-aminothiazole derivatives compared with the control naïve and DMSO treated myoblasts cultures, except for the 2-aminothiazole substituted derivatives JG-62 and KBA-18, which showed a significant increase in the wound closure compared with the control cells at different concentrations. Taken together, we demonstrated that 2-aminothiazole substituted derivatives provide enhanced Nampt activity, wound closure, and no cytotoxic effects in vitro. Further studies will allow to improve the substitution of 2-aminothiazole derivatives and test their potential therapeutic applications.
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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) | 0.001 | 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 | 0.001 | 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".