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@@ -21,7 +21,7 @@ a significant improvement in performance: Trained on human-human PPIs, PLM-inter
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  worm, E. coli and yeast PPIs, with 16-28% improvements in AUPR compared with state-of-the-art PPI models.
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  Additionally, it can detect changes that disrupt or cause PPIs and be applied to virus-host PPI prediction.
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- ![PLM-interact](./Figure1_PLM_interact.tiff)
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  ### An example to predict interaction probability between proteins
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  worm, E. coli and yeast PPIs, with 16-28% improvements in AUPR compared with state-of-the-art PPI models.
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  Additionally, it can detect changes that disrupt or cause PPIs and be applied to virus-host PPI prediction.
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+ ![PLM-interact](./Figure1_PLM_interact.png)
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  ### An example to predict interaction probability between proteins
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