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Record W4408922736 · doi:10.1016/j.rechem.2025.102219

DNA gyrase inhibition by Ni(II)-Schiff base complexes via in silico molecular docking studies: Spectroscopic, DFT calculations and in vitro pharmacological assessment

2025· article· en· W4408922736 on OpenAlexaff
Ikechukwu P. Ejidike, Amani Direm, Cemal Parlak, Solomon A. Olaleru, Charles Oluwaseun Adetunji, Fanyana M. Mtunzi, Athar Ata, Michael O. Eze, Hadley S. Clayton, Peter A. Ajibade, Joshua W. Hollett

Bibliographic record

VenueResults in Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of Winnipeg
FundersMinistry of Higher Education and Scientific ResearchNational Research Foundation
KeywordsDNA gyraseIn silicoSchiff baseDocking (animal)ChemistryIn vitroDNAComputational biologyStereochemistryBiochemistryCombinatorial chemistryBiologyEscherichia coliMedicine

Abstract

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The current world's life-threatening illnesses have amplified multidrug resistance infections, bringing about immune system mayhem, thus, the quest for novel antimicrobial compounds with a broad spectrum of action. Four Ni(II) complexes, [Ni( YB )Cl]·2H 2 O (C1) , [Ni( YB )Br]·H 2 O (C2) , [Ni( YB )NO 3 ]·3H 2 O (C3) , [Ni( YB )COOCH 3 ]·2H 2 O (C4) [ HYB = 4-[(1 E )- N -{2-[( Z )-(4-methoxybenzylidene)amino]ethyl}ethanimidoyl]benzene-1,3-diol], were synthesized. Analytical techniques like CHNS analysis, UV–Vis, FT-IR, molar conductance, XRD, 1 H NMR, and TGA/DTA were utilized for characterization. The calculated E HOMO – E LUMO energy gap and global reactivity descriptors of the compounds were performed by DFT calculations. The energy gap (Δ E ) = E HOMO – E HOMO for the studied compounds HYB , C3 , C4 , C1 , and C2 were found to be 1.736, 1.243, 1.221 1.217, and 1.193 eV respectively. The chelated complexes exhibited higher DPPH radical scavenging power than the corresponding free HYB ligand. Amongst the complexes, C2 displayed the highest scavenging ability (IC 50 = 2.59 ± 1.21 μM). Antimicrobial activities of the synthesized compounds were validated against bacterial strains: gram (+) E. faecalis and S. aureus ; gram (−) P. aeruginosa and K. pneumoniae ; and fungi: C. neoformans and C. albicans . C2 exhibited the most inhibition (MIC = 390.6 μg/mL) against P. aeruginosa and E. faecalis , while C1 acted as the most effective compound (MIC = 48.83 μ g/mL) against the fungi strains. The docking study illustrated the highest binding affinity of −7.30 kcal/mol by C2 with P. aeruginosa (PDB: 8BN6 ), and C1 for the C. neoformans with −6.04 kcal/mol (PDB ID: 7T08 ) binding sites. Potential binding modes around the receptor's active sites were predicted by the in silico molecular docking studies. • Functionalized ONN Schiff base ligand from resacetophenone and diamine derivative, and four complexes has been synthesized. • Spectroscopic structural were investigated by CHNS, UV–Vis, FT-IR, molar conductance, XRD, NMR, and TGA/DTA techniques. • Structural optimization of the HYB ligand and metal ( C1 - C4 ) complexes showing the metal-ligand bonds. • The in vitro antioxidant, antibacterial, and antifungal efficacy of the HYB and ( C1 - C4 ) complexes has been investigated. • Potential binding modes around the DNA enzyme receptors active sites were predicted by the in silico docking studies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.033
GPT teacher head0.354
Teacher spread0.321 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2025
Admission routes1
Has abstractyes

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