Integrating machine learning tools in protein design: a case of MHETase engineering for PET biodeconstruction
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The integration of machine learning tools into protein engineering offers substantial promise, yet linking computational predictions to experimental performance remains challenging. Here, we applied accessible computational platforms to engineer Ideonella saka... ...
