Fig. 1: The isothermal compressibility-assisted dynamic squeezing index perturbation engineering (iCASE) strategy connects enzyme evolution to the physical chemistry of enzyme stability and catalysis. | Nature Communications

Fig. 1: The isothermal compressibility-assisted dynamic squeezing index perturbation engineering (iCASE) strategy connects enzyme evolution to the physical chemistry of enzyme stability and catalysis.

From: Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Fig. 1

There is a negative correlation between the isothermal compressibility (βT) and melting temperature (Tm). The dynamic squeezing index (DSI) is positively correlated with activity. The mutations obtained by using this strategy can quickly reach the peak of the fitness landscape. Finally, Dynamic response predictive models based on machine learning for protein function and fitness were built, verified, and evaluated.

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