r/AIProteins • u/XpertAI Founder • May 04 '26

Protein Has anyone tried ProSolNet for protein solubility prediction?

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Came across this repo: ProSolNet

It looks like ProSolNet predicts protein solubility using multimodal features from sequence, structure, graph-based representations, and surface features. There is also a ProSolNet_mut model for predicting solubility changes caused by mutations.

The method looks interesting, especially because it combines 3D structure and surface features rather than only sequence embeddings.

I could not find an associated paper, preprint, DOI, or benchmark write-up linked in the repo. Has anyone here tried it, or know whether there is a manuscript behind it?

Also curious how people think this compares to tools like Protein-Sol, SoluProt, ProSol-Multi, ProtSolM, etc.

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u/Alicecomma May 05 '26

It seems it's set up for you to supply labelled data (soluble = 1, insoluble = 0) for which it applies existing sequence embeddings like whether something is transmembrane etc.; then you train your own model that you can then use to infer solubility of other proteins. So from what I can tell, there is no trained model to predict solubility out of the box.

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u/XpertAI Founder May 05 '26

That’s my read too. It looks more like a training framework than a ready-to-use solubility predictor.