Potential Analysis of AI - Driven Protein Structure Prediction Technology in Drug Design
Zhang Yingxin

College of Life and Environmental Sciences, Minzu University of China, Beijing ,China,100081;

Abstract：As the core carrier of life activities, protein structure analysis and function design are crucial in drug research and development. Traditional experimental methods are limited by high costs and low efficiency, which cannot meet the needs of modern drug development. In recent years, artificial intelligence (AI) technology has made breakthrough progress. In particular, protein structure prediction models represented by AlphaFold have provided a new paradigm for drug design. This paper systematically analyzes the application potential and innovative value of AI - driven technologies in the field of protein structure prediction in core aspects such as target discovery, antibody optimization, and dynamic conformation simulation.

Keywords：Protein structure prediction; Drug design; AlphaFold; Generative AI; Dynamic conformation

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