Synthesis, structural elucidation, biological screening, and density functional theory calculations of Cu(II), Ni(II), Mn(II), and Co(II) complexes of 20 <i>Z</i>‐<i>N</i>‐((<i>Z</i>)‐2‐(6‐nitrobenzo[<i>d</i>]thiazol‐2‐ylimino)‐1,2‐diphenylethylidene)‐5‐nitrobenzo[<i>d</i>]thiazol‐2‐amine Schiff base ligand
Bibliographic record
Abstract
The emerging Schiff base‐derived metal complexes are the building blocks for biomedical applications. Herein, novel Schiff base N , N ′‐[(1 Z ,2 Z )‐1,2‐diphenylethane‐1,2‐diylidene]bis(6‐nitro‐1,3‐thiazol‐2‐amine) and corresponding Cu(II), Ni(II), Mn(II), and Co(II) metal complexes were successfully synthesized and characterized. The characterization of ligand and corresponding metal complexes was carried out by employing elemental analysis, 1 H and 13 C nuclear magnetic resonance (NMR) spectroscopy, mass spectroscopy, Fourier transform infrared spectroscopy (FTIR) analysis, molar conductance, magnetic susceptibility measurements, electronic spectra, electronic paramagnetic resonance (EPR) and density functional theory (DFT) studies. DFT calculations at B3LYP/6‐311+G** level of theory have been executed to examine the equilibrium geometry of the ligand and metal complexes. Furthermore, total energy, highest‐occupied molecular orbital (HOMO) and lowest‐unoccupied molecular orbital (LUMO), and Mulliken atomic charges were reckoned. Tetrahedral geometry was observed in the case of the Ni(II) complex, and octahedral geometries were discerned for Cu(II), Mn(II), and Co(II), complexes. Docking studies were performed against the newly synthesized analogs with the active site of E scherichia coli (PDB ID: 3t88), S taphylococcus aureus (PDB ID: 3q8u), C andida Albicans (PDB ID: 3qlw), and A spergillus flavus (PDB ID: 4ynt) receptors to recognize the interactions between complexes and identify their probable binding sites. Synthesized analogs were examined for in vitro antimicrobial activity employing both minimum inhibitory concentration and disk diffusion method against the aforementioned pathogens. The result for these pathogens suggested metal compounds evince higher activity in comparison to the free ligand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".