Fig. 2From: Deep scaffold hopping with multimodal transformer neural networksThe basic architecture of the multimodal transformer model DeepHop. The model comprises three main components: (1) a 3D graph neural network for molecular conformer embedding, (2) a pre-trained encoder for the target protein embedding, and (3) a transformer for mapping the scaffold hopping pairsBack to article page