PaddleHelix provides large-scale representation learning and multi-task deep learning for computational biology and drug discovery. It includes implementations of protein folding models (HelixFold3 replicating AlphaFold3 capabilities), drug-target interaction prediction, molecule generation, and RNA structure prediction. The platform leverages graph neural networks and self-supervised learning on biological data.