Cadmium oxide nanoparticles from new organometallic Cd(II)-Schiff base complex and in vitro biological potentials: dual S. aureus and E. coli DNA gyrase inhibition by the precursors via in silico binding modes’ study
Bibliographic record
Abstract
Abstract At the nanoscale level, several biological processes take place, owing to the potential that engineered nanomaterials might interrelate with bio-molecules and cellular procedures. This study aimed to synthesize cadmium oxide nanoparticles via a one-step calcination process of tetradentate Schiff base-Cd(II) complex at different temperature ranges. The as-synthesized compounds were carried out via a viz UV–visible, elemental analysis, 1H NMR, molar conductivity, transmission electron microscopy (TEM), FT-IR spectroscopy, and X-ray diffraction (PXRD). The band gap energy and average particle sizes of the CdO particles are respectively (2.69 eV, 3.54 eV), 26.88 nm for CdO@250, and (3.20 eV, 3.57 eV), 25.67 nm for CdO@300, while CdO@350 exhibited the 3.78 eV and 28.42 nm values. The antioxidant accomplishments of the test samples through the scavenging activity of DPPH radicals showed CdO@300 to possess (IC50 = 5.18 ± 0.56 µg/mL). Similarly, the as-synthesized CdO nanoparticles exhibited higher antibacterial activities against S. aureus and E. coli as compared to the corresponding Cd-HMB and ligand (HMB), while ciprofloxacin acted as a standard antibiotic. Furthermore, HMB and its complex Cd-HMB were docked against the DNA gyrase enzymes of S. aureus (PDB IDs: 5CDQ) and E. coli (PDB IDs: 6F86) as receptors. The binding sites docking results showed that the binding energies of HMB and Cd-HMB to 5CDQ ranged from − 3.44 to − 4.99 kcal/mol and from − 6.45 to − 6.64 kcal/mol, while the binding energies related to the target 6F86 are in the ranges of (− 3.64, − 4.76) kcal/mol and (− 6.08, − 6.09) kcal/mol respectively. Therefore, the significant antioxidant and antibacterial activities of the ligand (HMB), Cd-HMB, and CdO NPs review the broad application prospects of these compounds as therapeutic agents for wide-ranging biomedical 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) | 0.000 | 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 | 0.000 |
| 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 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".