August 15, 2025Open Access

ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models

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Deep learning framework predicts protein stability changes from mutations in transaminase, suggesting new design strategies.

ProStab significantly improves predictions of protein stability change upon mutation, demonstrating its effectiveness.
It achieved a consistently higher Spearman correlation and precision compared to state-of-the-art methods.
Assessment included experimental validation of predicted mutations in the model enzyme transaminase, yielding notable results.
ProStab provides a user-friendly web server, enabling broader application in intelligent protein design.

Tan et al. (2025) studied this question.

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August 15, 2025Open Access

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Authors

Deep learning framework predicts protein stability changes from mutations in transaminase, suggesting new design strategies.

ProStab significantly improves predictions of protein stability change upon mutation, demonstrating its effectiveness.
It achieved a consistently higher Spearman correlation and precision compared to state-of-the-art methods.
Assessment included experimental validation of predicted mutations in the model enzyme transaminase, yielding notable results.
ProStab provides a user-friendly web server, enabling broader application in intelligent protein design.

Tan et al. (2025) studied this question.

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