Cu(Ⅱ)- and Zn(Ⅱ)-ions can suppress PGN syntheses transpeptidase (TP)/transglycosylase (TG), inhibit PGN elongation, and enhance PGN autolysins, in which copper(Ⅱ) and zinc(Ⅱ) regulate PGN synthesis TG/TP, inhibit PGN synthetic enzymes, and copper and zinc intoxications can inhibit PGN biosynthesis TG against S. aureus and E. coli autolysins, in which copper(Ⅱ) and zinc(Ⅱ) regulate PGN synthesis TG/TP, inhibit PGN synthetic enzymes, and copper and zinc intoxications can inhibit PGN biosynthesis TG against S. aureus and E. coli.

Antimicrobial activity on metal-based alloy materials: The antibacterial activity of Cu2+-treatment against Staphy-lococcus aureus was the most effective. Zn2+-treatment possessed a great antibacterial activity against S. aureus even, Cu2+ possessed the most effective antibacterial that treated with Zn2+, Fe2+ and Fe3+ possessed activity against Klebsiella pneumoniae a slight antibacterial and activity.

Fe-, Zn-, Co-, Ti-based alloys, and other metals had been investigated under the bacterial capability method with bacte-rial suspension, immersion and incubation of different times, which include Co-, Fe-, Mg-, Ti-, and Zn-based alloys, and some few other metal-based alloy systems, were analyzed in detail cell wall/membrane disruption mechanism and an effort to comparatively evaluate the antibacterial and mechanical response of the different alloys developed so far was made.

Metallic ions-induced anti-bacterial activity observations or detections by artificial intelligence (AI) techniques: AI employing has great promise for the design of antimicrobial peptides (AMPs), in which AI is now leading to rapid progress, expanding antiinfective drug discovery, enhancing our understanding of infection biology, and accelerating the development of new diagnostics. In recent advances in AI, AI-driven antimicrobial discovery encompasses a diverse set of computational strategies tailored to different data modalities, antimicrobial classes, and translational objectives that AI approaches applied to the discovery of small-molecule antibiotics and antimicrobial peptides, emphasizing model architectures, data requirements, validation strategies, and AI-based for the detection and removal of heavy metals (HMs) from environments.

Antimicrobial mechanism for metallic ions with their ligands: Metal-based materials against S. aureus and E. coli may be thought that various biological aspects of the metal based drugs/ligands entirely depend on the ease of cleaving the bond between the metal ion and the ligand, in which the interactive relationship between ligand and the metal and the efficacy of the various organic therapeutic agents can often be metal-based compound/metal complexes and met-al-based material as antimicrobial agents enhanced upon coordination with a suitable metal ion and the donor se-quence of the ligands because different ligands exhibit different biological properties.