Improving Biological Sequence Prediction with AlphaFold2 Representation (opens in new tab)

Motivation: Accurate prediction of functional sites from primary sequences is essential for elucidating biological mechanisms and advancing rational drug design. However, traditional sequence-based features areinherently unable to capture complex structural protein contexts. Recently, AlphaFold2 (AF2) revolutionized protein structure prediction, raising expectations of AF2 to serve as a feature extractor providing structure- rich representation, which can be useful for sequence-based predicti...