Marine Antimicrobial Peptides: From Ocean Biodiversity to Genome Mining, Multi-Omics Discovery, and Biotechnological Innovation in the Battle Against Antimicrobial Resistance.

Antimicrobial resistance (AMR) is growing fast, so we need new drugs. The ocean holds a huge, mostly unexplored source of bioactive compounds. This work looks at computer‑based methods for finding and studying marine antimicrobial peptides (AMPs) using genome mining and multiple‑omics data. We combine metagenomic sequences, transcriptome data, and proteomics results to guide the search for peptide candidates with strong therapeutic promise. Machine‑learning models predict each peptide’s stability, toxicity, and ability to kill multi‑drug‑resistant microbes. We also use structural modeling and molecular‑dynamics simulations to see how the peptides interact with cell membranes at the atomic level, which helps us design and improve them. The workflow moves directly from raw genomic

data to validated lead compounds, cutting out many of the slow steps in traditional bioprospecting. With clear evaluation steps, the pipeline provides a reliable in‑silico screen for marine‑derived AMPs, supporting the creation of new biotechnological tools to fight AMR worldwide.

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