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From: Integrating sequence and chemical insights: a co-modeling AI prediction framework for peptides
Figure 1. Schematic representation of the contrastive learning-based co-modeling framework for sequences and molecular graphs. This framework consists of a sequence-based encoder module (top left), a graph-based encoder module (bottom left), a fusion module (middle), and a predictor (right).
