Deep learning-guided dual-fitness evolution of T7 RNA polymerase for enhanced stability and activity.

Abstract excerpt

In protein engineering, simultaneously improving multiple fitness attributes is a critical yet challenging goal, largely due to the vastness of sequence space, the multifaceted interplay among different traits, and the complexity of non-linear mutational effects (epistasis). To address this, we developed a data-driven evolutionary strategy that couples in silico deep learning with a wet-lab multi-objective...

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