Review of Application of Artificial Intelligence in natural products research

Abstract

Background: The use of artificial intelligence (AI) in natural product research is an emerging field that has the potential to revolutionize the discovery of new drugs Given the potential of AI in the research and exploration of natural products, this study will aim to explore the application of AI in the research and development of natural products.

Methods: The study involved a comprehensive review of the application of AI in the research and development of natural products. The review includes sections around the potential application of AI in the research, development, and evaluation of AI in natural products followed by the challenges in this area.

Results: AI has had a major impact on the field of natural product discovery and development. By automating the analysis of large amounts of data, AI algorithms can identify potential new natural products much faster and more accurately than traditional methods. Another important application of AI in natural product research is the analysis of high-throughput screening data, a technique used to screen large numbers of compounds for specific biological activities. AI used for computer-aided drug design for the creation of novel biologically active chemicals can be improved, and the time and money required to create a new drug are reduced. By analyzing the vast amounts of data on natural products, AI has the potential to uncover meaningful relationships and logical connections between the chemical structures of these products and their functions against a specific disease.

Conclusion: Despite these limitations, the application of AI in natural product research holds significant promise in the development of natural products. By leveraging the latest developments in AI and machine learning, researchers can continue to push the boundaries of what is possible in the discovery of new natural products with therapeutic activities.