Antimicrobial peptides (AMPs) are crucial for defending organisms against pathogens. However, many natural AMPs have limited direct antimicrobial activity. Recent advances in computer-assisted design have led to the development of more potent, cost-effective, and broad-spectrum AMPs. These designs aim to optimize direct antimicrobial activity while minimizing toxicity and improving pharmacokinetics. AMPs can act through various mechanisms, including membrane disruption, interference with biosynthesis, and modulation of immune responses. They are also effective against biofilms and can enhance immune cell functions. Despite their potential, resistance to AMPs is less common than to traditional antibiotics, making them promising candidates for new antimicrobial therapies. Challenges in AMP design include understanding their molecular mechanisms, ensuring membrane selectivity, and avoiding toxicity. Computational methods, such as molecular dynamics simulations and virtual screening, are being used to improve AMP design. These methods help identify peptides with desired properties by analyzing their structural and physicochemical features. Additionally, databases of known AMPs are being used to predict new AMPs and understand their activity. The development of synthetic AMPs with optimized functions is an active area of research, aiming to create effective and safe antimicrobial agents.Antimicrobial peptides (AMPs) are crucial for defending organisms against pathogens. However, many natural AMPs have limited direct antimicrobial activity. Recent advances in computer-assisted design have led to the development of more potent, cost-effective, and broad-spectrum AMPs. These designs aim to optimize direct antimicrobial activity while minimizing toxicity and improving pharmacokinetics. AMPs can act through various mechanisms, including membrane disruption, interference with biosynthesis, and modulation of immune responses. They are also effective against biofilms and can enhance immune cell functions. Despite their potential, resistance to AMPs is less common than to traditional antibiotics, making them promising candidates for new antimicrobial therapies. Challenges in AMP design include understanding their molecular mechanisms, ensuring membrane selectivity, and avoiding toxicity. Computational methods, such as molecular dynamics simulations and virtual screening, are being used to improve AMP design. These methods help identify peptides with desired properties by analyzing their structural and physicochemical features. Additionally, databases of known AMPs are being used to predict new AMPs and understand their activity. The development of synthetic AMPs with optimized functions is an active area of research, aiming to create effective and safe antimicrobial agents.