Revolutionizing biomolecular structure determination with artificial intelligence

<正>Determination of biomolecular structures is crucial for understanding biological functions and designing novel therapeutics. Numerous artificial intelligence based approaches have been developed for modeling specific types of biomolecules, aiming to improve the cost and time efficiency of wet-lab experiments. Recently, the advanced deep-learning-based methods such as Rose TTAFold All-Atom(RFAA) and AlphaFold3 have emerged for generalized biomolecular structure modeling.