2022
DOI: 10.3390/molecules27041436
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N-((1H-Pyrrol-2-yl)methylene)-6-methoxypyridin-3-amine and Its Co(II) and Cu(II) Complexes as Antimicrobial Agents: Chemical Preparation, In Vitro Antimicrobial Evaluation, In Silico Analysis and Computational and Theoretical Chemistry Investigations

Abstract: Researchers are interested in Schiff bases and their metal complexes because they offer a wide range of applications. The chemistry of Schiff bases of heterocompounds has got a lot of attention because of the metal’s ability to coordinate with Schiff base ligands. In the current study, a new bidentate Schiff base ligand, N-((1H-pyrrol-2-yl)methylene)-6-methoxypyridin-3-amine (MPM) has been synthesized by condensing 6-methoxypyridine-3-amine with pyrrole-2-carbaldehyde. Further, MPM is used to prepare Cu(II) an… Show more

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Cited by 8 publications
(3 citation statements)
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“…The Protein Data Bank (PDB) tool ( https://www.rcsb.org/ ) was used to retrieve the structure of EGFR receptor with PDB ID: 3W2S ( 27 – 29 ). After modeling the structure, the PDB coordinate file was submitted to the Procheck server.…”
Section: Methodsmentioning
confidence: 99%
“…The Protein Data Bank (PDB) tool ( https://www.rcsb.org/ ) was used to retrieve the structure of EGFR receptor with PDB ID: 3W2S ( 27 – 29 ). After modeling the structure, the PDB coordinate file was submitted to the Procheck server.…”
Section: Methodsmentioning
confidence: 99%
“…Inspired by the impressive molecular docking studies with compounds containing Schiff bases and pyrrole rings in the literature, the interactions of PL1 and PL2 ligands with PLK1 protein were investigated by a molecular docking study. [31,[99][100][101][102] The oncogenic role of PLK1 in various cancers has led to the development of PLK1-specific inhibitors that have been studied in preclinical settings. It is known from literature data that PLK1 has two conserved polo box domains at its N-terminal kinase domain and its 30 amino acid C-terminus.…”
Section: Molecular Docking Analysismentioning
confidence: 99%
“…CASTp detects and measures surface pockets and internal cavities. The server identifies the amino acids that are important for binding interactions, and the modelled protein is utilized to predict ligand binding sites (Mariwamy et al, 2022).…”
Section: Protein Binding Site Predictionmentioning
confidence: 99%