王志珍院士：结构生物学家不会被AI替代

Core Insights - The interview with Wang Zhizhen highlights the significant impact of AI tools like AlphaFold on the field of structural biology, particularly in predicting protein structures, which accelerates research progress [1][2] - Despite the advancements brought by AlphaFold, it is noted that the predictions are not always 100% accurate, especially for novel protein structures, indicating limitations in its application [1] Group 1: AI in Scientific Research - AlphaFold is recognized as a representative application of AI in science, demonstrating remarkable potential in predicting protein three-dimensional structures [1] - The tool has become widely used among scientists in the field, allowing for rapid insights into protein structures from amino acid sequences [1] Group 2: Challenges in Structural Biology - Structural biologists face the challenge of not only determining molecular structures but also understanding their functions, which involves complex interactions among multiple molecules [2] - The study of molecular functions requires interdisciplinary approaches, including cell biology, to fully comprehend how molecules operate [2]