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OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders

Fig 3

Alignment performance across modality combinations paired (left column) and not paired (emergent, right column) during training for OneProt-5 (top row) and OneProt-4 (bottom row).

The axes of the polygons correspond to the modality pairs, and the vertices correspond to R@1 (inner polygon), R@10 (middle polygon), and R@100 (outer polygon), which represent the fraction of queries for which the correct (ground-truth) match appears among the top 1, top 10, or top 100 retrieved embeddings, respectively, with the best possible value being equal to 1. MR is the Median Rank of the corresponding embedding in the other modality, best possible being equal 1.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1013679.g003