Fig. 1: Workflow of machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants. | Nature Communications

Fig. 1: Workflow of machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants.

From: Machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants for improving enantioselectivity

Fig. 1: Workflow of machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants.

This workflow includes several key steps: data collection and feature engineering, model training, virtual screening, and rational design of protein variants. Machine learning classifiers are labeled in blue color.

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