THE VITAL ROLE OF ARTIFICIAL INTELLIGENCE IN ACCELERATING THE DISCOVERY AND DEVELOPMENT OF ANTIBIOTICS

Background: Artificial intelligence (AI) has the potential to revolutionize antibiotic discovery. By automating and accelerating various stages of the drug discovery process, AI can help address the urgent need for new antibiotics to combat rising antimicrobial resistance.AI can be used to analyze vast amounts of data, AI algorithms can process and analyze large datasets to identify patterns and trends that may be relevant to antibiotic discovery. Predict molecular properties, design novel antibiotics and optimize drug development. By leveraging AI, researchers can expedite the discovery of novel antibiotics, improve their efficacy, and reduce the time and cost associated with drug development. This is crucial for addressing the growing threat of antibiotic resistance and ensuring the availability of effective treatments for infectious diseases.

Materials and Methods: This review article systematically analyzes published research on the application of artificial intelligence (AI) in pharmacology, the drug industry, and specifically, antibiotic discovery. The information from these articles was categorized and reviewed according to the AI applications in pharmacology, AI in the drug industry, AI in antibiotic discovery. This review aims to highlight the specific ways in which AI is being used to address the urgent need for new antibiotics.

Results: A review of 35 studies revealed the benefits of using artificial intelligence (AI) in drug discovery, particularly in the context of antibiotic development. AI can enhance drug design processes, improve predictions of ligand-receptor interactions, and facilitate collaboration among healthcare providers.However, AI also faces challenges, such as potential biases in decision-making, ethical concerns, and the need to recognize its limitations. To address these issues, researchers can focus on strengthening neural network databases, integrating AI with traditional experimental methods. By overcoming these challenges, AI can play a crucial role in accelerating the discovery of novel antibiotics and improving the treatment of infectious diseases.

Conclusion: The efficient application of artificial intelligence can substantially expedite drug discovery, especially for new antibiotics. As bacterial resistance to current antibiotics increases, the demand for swift development of more potent drugs becomes more critical. AI, capable of analyzing extensive datasets and predicting molecular characteristics, can significantly accelerate this process.